[Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Madawa Soysa]

Hi Mentors,

First of all thanks for selecting my proposal on $subject . Even
though coding in GSoC starts on 25th May, I would like to have a discussion
with mentors and start implementing as soon as possible. It would be great
if you can review the proposal and provide feedback. Previous mail thread
attached at [1]

.

[1]
- 
http://wso2.markmail.org/search/%5BDev%5D+%5BGSoC-2015%5D+Proposal+11:+Recommendation+Solution+for+WSO2+Machine+Learner+from:%22Madawa+Soysa%22


Thanks,
Madawa
-- 

*_**Madawa Soysa*

Undergraduate,

Department of Computer Science and Engineering,

University of Moratuwa.


Chairman,

IEEE Computer Society Student Chapter,
University of Moratuwa.


Mobile: +94 75 812 0726 | Email: madawa...@cse.mrt.ac.lk
LinkedIn  | Twitter
 | Tumblr 
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[Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Madawa Soysa]

Hi,

I'm Madawa Soysa, an undergraduate at Department of Computer Science and
Engineering, University of Moratuwa. Currently I'm an intern at WSO2 Inc. I
went through the proposal[1]

and
interested in contributing to the project.

I't would be great if i could further discuss about the above project.

[1]
- 
https://docs.wso2.com/display/GSoC/Project+Proposals+for+2015#ProjectProposalsfor2015-Proposal11:RecommendationSolutionforWSO2MachineLearner


-- 
Madawa Soysa
Software Engineering Intern | WS*O₂* Inc. 

Mobile: +94 75 812 0726 | Email: mada...@wso2.com
LinkedIn  | Twitter
 | Tumblr 
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[Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[liyanagemanil]

Hi All,

My name is Manil Liyanage. I'm currently following a Masters in the field of 
Information Technology at University of Colombo School of Computing. 

I'm interested in doing $subject. i have previously contributed or done 
projects such as WSO2 ESB connectors for soundcloud and yammer. I'm really 
interested in doing projects related to web services. Im familiar with JAX-RS 
mostly.  please let me how can I can contribute more towards [1].

Thank you,
Manil Liyanage 


[1] 
https://docs.wso2.com/plugins/servlet/mobile#ProjectProposalsfor2015-Proposal11:RecommendationSolutionforWSO2MachineLearner

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Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Nirmal Fernando]

Hi Madawa,

Welcome to GSoC 15' ! As the first step, please start exploring
recommendation algorithms of Spark (v1.3) MLLib and we would like to see a
list of supported algorithms and some information on each of those.

On Wed, May 6, 2015 at 9:31 AM, Madawa Soysa 
wrote:

> Hi Mentors,
>
> First of all thanks for selecting my proposal on $subject . Even
> though coding in GSoC starts on 25th May, I would like to have a discussion
> with mentors and start implementing as soon as possible. It would be great
> if you can review the proposal and provide feedback. Previous mail thread
> attached at [1]
> 
> .
>
> [1]
> - 
> http://wso2.markmail.org/search/%5BDev%5D+%5BGSoC-2015%5D+Proposal+11:+Recommendation+Solution+for+WSO2+Machine+Learner+from:%22Madawa+Soysa%22
> 
>
> Thanks,
> Madawa
> --
>
> *_**Madawa Soysa*
>
> Undergraduate,
>
> Department of Computer Science and Engineering,
>
> University of Moratuwa.
>
>
> Chairman,
>
> IEEE Computer Society Student Chapter,
> University of Moratuwa.
>
>
> Mobile: +94 75 812 0726 | Email: madawa...@cse.mrt.ac.lk
> LinkedIn  | Twitter
>  | Tumblr 
>



-- 

Thanks & regards,
Nirmal

Associate Technical Lead - Data Technologies Team, WSO2 Inc.
Mobile: +94715779733
Blog: http://nirmalfdo.blogspot.com/
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Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Nirmal Fernando]

Hi Madawa,

Please send an update on your work thus far.

On Sun, May 10, 2015 at 2:23 PM, Nirmal Fernando  wrote:

> Hi Madawa,
>
> Welcome to GSoC 15' ! As the first step, please start exploring
> recommendation algorithms of Spark (v1.3) MLLib and we would like to see a
> list of supported algorithms and some information on each of those.
>
> On Wed, May 6, 2015 at 9:31 AM, Madawa Soysa 
> wrote:
>
>> Hi Mentors,
>>
>> First of all thanks for selecting my proposal on $subject . Even
>> though coding in GSoC starts on 25th May, I would like to have a discussion
>> with mentors and start implementing as soon as possible. It would be great
>> if you can review the proposal and provide feedback. Previous mail thread
>> attached at [1]
>> 
>> .
>>
>> [1]
>> - 
>> http://wso2.markmail.org/search/%5BDev%5D+%5BGSoC-2015%5D+Proposal+11:+Recommendation+Solution+for+WSO2+Machine+Learner+from:%22Madawa+Soysa%22
>> 
>>
>> Thanks,
>> Madawa
>> --
>>
>> *_**Madawa Soysa*
>>
>> Undergraduate,
>>
>> Department of Computer Science and Engineering,
>>
>> University of Moratuwa.
>>
>>
>> Chairman,
>>
>> IEEE Computer Society Student Chapter,
>> University of Moratuwa.
>>
>>
>> Mobile: +94 75 812 0726 | Email: madawa...@cse.mrt.ac.lk
>> LinkedIn  | Twitter
>>  | Tumblr 
>>
>
>
>
> --
>
> Thanks & regards,
> Nirmal
>
> Associate Technical Lead - Data Technologies Team, WSO2 Inc.
> Mobile: +94715779733
> Blog: http://nirmalfdo.blogspot.com/
>
>
>


-- 

Thanks & regards,
Nirmal

Associate Technical Lead - Data Technologies Team, WSO2 Inc.
Mobile: +94715779733
Blog: http://nirmalfdo.blogspot.com/
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Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Madawa Soysa]

Hi Nirmal,

I have been playing with the Apache Spark MLlib functions and currently
implementing a sample recommendation algorithm using collaborative
filtering. I would like to have a meeting as soon as possible before
starting to implement the actual component about the workflow and
integration details.

Thanks,
Madawa.

On 3 June 2015 at 08:30, Nirmal Fernando  wrote:

> Hi Madawa,
>
> Please send an update on your work thus far.
>
> On Sun, May 10, 2015 at 2:23 PM, Nirmal Fernando  wrote:
>
>> Hi Madawa,
>>
>> Welcome to GSoC 15' ! As the first step, please start exploring
>> recommendation algorithms of Spark (v1.3) MLLib and we would like to see a
>> list of supported algorithms and some information on each of those.
>>
>> On Wed, May 6, 2015 at 9:31 AM, Madawa Soysa 
>> wrote:
>>
>>> Hi Mentors,
>>>
>>> First of all thanks for selecting my proposal on $subject . Even
>>> though coding in GSoC starts on 25th May, I would like to have a discussion
>>> with mentors and start implementing as soon as possible. It would be great
>>> if you can review the proposal and provide feedback. Previous mail thread
>>> attached at [1]
>>> 
>>> .
>>>
>>> [1]
>>> - 
>>> http://wso2.markmail.org/search/%5BDev%5D+%5BGSoC-2015%5D+Proposal+11:+Recommendation+Solution+for+WSO2+Machine+Learner+from:%22Madawa+Soysa%22
>>> 
>>>
>>> Thanks,
>>> Madawa
>>> --
>>>
>>> *_**Madawa Soysa*
>>>
>>> Undergraduate,
>>>
>>> Department of Computer Science and Engineering,
>>>
>>> University of Moratuwa.
>>>
>>>
>>> Chairman,
>>>
>>> IEEE Computer Society Student Chapter,
>>> University of Moratuwa.
>>>
>>>
>>> Mobile: +94 75 812 0726 | Email: madawa...@cse.mrt.ac.lk
>>> LinkedIn  | Twitter
>>>  | Tumblr 
>>>
>>
>>
>>
>> --
>>
>> Thanks & regards,
>> Nirmal
>>
>> Associate Technical Lead - Data Technologies Team, WSO2 Inc.
>> Mobile: +94715779733
>> Blog: http://nirmalfdo.blogspot.com/
>>
>>
>>
>
>
> --
>
> Thanks & regards,
> Nirmal
>
> Associate Technical Lead - Data Technologies Team, WSO2 Inc.
> Mobile: +94715779733
> Blog: http://nirmalfdo.blogspot.com/
>
>
>


-- 

*_**Madawa Soysa*

Undergraduate,

Department of Computer Science and Engineering,

University of Moratuwa.


Chairman,

IEEE Computer Society Student Chapter,
University of Moratuwa.


Mobile: +94 75 812 0726 | Email: madawa...@cse.mrt.ac.lk
LinkedIn  | Twitter
 | Tumblr 
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Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Nirmal Fernando]

Ok thanks. I'll send you an invite offline.

On Wed, Jun 3, 2015 at 9:44 PM, Madawa Soysa 
wrote:

> Hi Nirmal,
>
> I have been playing with the Apache Spark MLlib functions and currently
> implementing a sample recommendation algorithm using collaborative
> filtering. I would like to have a meeting as soon as possible before
> starting to implement the actual component about the workflow and
> integration details.
>
> Thanks,
> Madawa.
>
> On 3 June 2015 at 08:30, Nirmal Fernando  wrote:
>
>> Hi Madawa,
>>
>> Please send an update on your work thus far.
>>
>> On Sun, May 10, 2015 at 2:23 PM, Nirmal Fernando  wrote:
>>
>>> Hi Madawa,
>>>
>>> Welcome to GSoC 15' ! As the first step, please start exploring
>>> recommendation algorithms of Spark (v1.3) MLLib and we would like to see a
>>> list of supported algorithms and some information on each of those.
>>>
>>> On Wed, May 6, 2015 at 9:31 AM, Madawa Soysa 
>>> wrote:
>>>
 Hi Mentors,

 First of all thanks for selecting my proposal on $subject . Even
 though coding in GSoC starts on 25th May, I would like to have a discussion
 with mentors and start implementing as soon as possible. It would be great
 if you can review the proposal and provide feedback. Previous mail thread
 attached at [1]
 
 .

 [1]
 - 
 http://wso2.markmail.org/search/%5BDev%5D+%5BGSoC-2015%5D+Proposal+11:+Recommendation+Solution+for+WSO2+Machine+Learner+from:%22Madawa+Soysa%22
 

 Thanks,
 Madawa
 --

 *_**Madawa Soysa*

 Undergraduate,

 Department of Computer Science and Engineering,

 University of Moratuwa.


 Chairman,

 IEEE Computer Society Student Chapter,
 University of Moratuwa.


 Mobile: +94 75 812 0726 | Email: madawa...@cse.mrt.ac.lk
 LinkedIn  | Twitter
  | Tumblr 

>>>
>>>
>>>
>>> --
>>>
>>> Thanks & regards,
>>> Nirmal
>>>
>>> Associate Technical Lead - Data Technologies Team, WSO2 Inc.
>>> Mobile: +94715779733
>>> Blog: http://nirmalfdo.blogspot.com/
>>>
>>>
>>>
>>
>>
>> --
>>
>> Thanks & regards,
>> Nirmal
>>
>> Associate Technical Lead - Data Technologies Team, WSO2 Inc.
>> Mobile: +94715779733
>> Blog: http://nirmalfdo.blogspot.com/
>>
>>
>>
>
>
> --
>
> *_**Madawa Soysa*
>
> Undergraduate,
>
> Department of Computer Science and Engineering,
>
> University of Moratuwa.
>
>
> Chairman,
>
> IEEE Computer Society Student Chapter,
> University of Moratuwa.
>
>
> Mobile: +94 75 812 0726 | Email: madawa...@cse.mrt.ac.lk
> LinkedIn  | Twitter
>  | Tumblr 
>



-- 

Thanks & regards,
Nirmal

Associate Technical Lead - Data Technologies Team, WSO2 Inc.
Mobile: +94715779733
Blog: http://nirmalfdo.blogspot.com/
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Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Madawa Soysa]

Hi,

Had an initial meeting with the mentors about the $subject and discussed
following matters.

   - Data format to be consider in the project
   - Re-Modeling implicit data (mouse clicks, page views) that can be
   extracted from websites to explicit rating scheme.
   - publishing data to DAS and connecting ML with DAS.

Currently I'm developing a sample personalized recommend system to test how
Apache Spark uses data and how it generates the output model.

Thanks,
Madawa

On 5 June 2015 at 11:22, Nirmal Fernando  wrote:

> Please also send an update on the meeting to dev@
>
> On Fri, Jun 5, 2015 at 11:19 AM, Nirmal Fernando  wrote:
>
>>
>> https://docs.wso2.com/display/ML100/Integration+with+WSO2+Data+Analytics+Server
>>
>> On Thu, Jun 4, 2015 at 3:48 PM, Madawa Soysa 
>> wrote:
>>
>>> OK. Thanks. I will be there.
>>>
>>> On 4 June 2015 at 14:55, Nirmal Fernando  wrote:
>>>
 great.. confirmed then.

 On Thu, Jun 4, 2015 at 2:47 PM, Madawa Soysa 
 wrote:

> Yes. Fine with 11 a.m.
>
> On 4 June 2015 at 14:00, Nirmal Fernando  wrote:
>
>> 11am ?
>>
>> On Thu, Jun 4, 2015 at 1:23 PM, Madawa Soysa > > wrote:
>>
>>> I'm free in the morning.
>>>
>>> On 4 June 2015 at 10:52, Nirmal Fernando  wrote:
>>>
 You are free tomorrow?

 On Thu, Jun 4, 2015 at 10:51 AM, Nirmal Fernando 
 wrote:

> Ok thanks. I'll send you an invite offline.
>
> On Wed, Jun 3, 2015 at 9:44 PM, Madawa Soysa <
> madawa...@cse.mrt.ac.lk> wrote:
>
>> Hi Nirmal,
>>
>> I have been playing with the Apache Spark MLlib functions and
>> currently implementing a sample recommendation algorithm using
>> collaborative filtering. I would like to have a meeting as soon as 
>> possible
>> before starting to implement the actual component about the workflow 
>> and
>> integration details.
>>
>> Thanks,
>> Madawa.
>>
>> On 3 June 2015 at 08:30, Nirmal Fernando  wrote:
>>
>>> Hi Madawa,
>>>
>>> Please send an update on your work thus far.
>>>
>>> On Sun, May 10, 2015 at 2:23 PM, Nirmal Fernando <
>>> nir...@wso2.com> wrote:
>>>
 Hi Madawa,

 Welcome to GSoC 15' ! As the first step, please start exploring
 recommendation algorithms of Spark (v1.3) MLLib and we would like 
 to see a
 list of supported algorithms and some information on each of those.

 On Wed, May 6, 2015 at 9:31 AM, Madawa Soysa <
 madawa...@cse.mrt.ac.lk> wrote:

> Hi Mentors,
>
> First of all thanks for selecting my proposal on $subject
> . Even though coding in GSoC starts on 25th May, I would like to 
> have a
> discussion with mentors and start implementing as soon as 
> possible. It
> would be great if you can review the proposal and provide 
> feedback.
> Previous mail thread attached at [1]
> 
> .
>
> [1]
> - 
> http://wso2.markmail.org/search/%5BDev%5D+%5BGSoC-2015%5D+Proposal+11:+Recommendation+Solution+for+WSO2+Machine+Learner+from:%22Madawa+Soysa%22
> 
>
> Thanks,
> Madawa
> --
>
> *_**Madawa Soysa*
>
> Undergraduate,
>
> Department of Computer Science and Engineering,
>
> University of Moratuwa.
>
>
> Chairman,
>
> IEEE Computer Society Student Chapter,
> University of Moratuwa.
>
>
> Mobile: +94 75 812 0726 | Email: madawa...@cse.mrt.ac.lk
> LinkedIn  | Twitter
>  | Tumblr
> 
>



 --

 Thanks & regards,
 Nirmal

 Associate Technical Lead - Data Technologies Team, WSO2 Inc.
 Mobile: +94715779733
 Blog: http://nirmalfdo.blogspot.com/



>>>
>>>
>>> --
>>>
>>> Thanks & regards,
>>> Nirmal
>>>
>>> Associate

Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Nirmal Fernando]

Madawa, can you please send an update since the mid-term review is nearing?

On Fri, Jun 5, 2015 at 3:27 PM, Madawa Soysa 
wrote:

> Hi,
>
> Had an initial meeting with the mentors about the $subject and discussed
> following matters.
>
>- Data format to be consider in the project
>- Re-Modeling implicit data (mouse clicks, page views) that can be
>extracted from websites to explicit rating scheme.
>- publishing data to DAS and connecting ML with DAS.
>
> Currently I'm developing a sample personalized recommend system to test
> how Apache Spark uses data and how it generates the output model.
>
> Thanks,
> Madawa
>
> On 5 June 2015 at 11:22, Nirmal Fernando  wrote:
>
>> Please also send an update on the meeting to dev@
>>
>> On Fri, Jun 5, 2015 at 11:19 AM, Nirmal Fernando  wrote:
>>
>>>
>>> https://docs.wso2.com/display/ML100/Integration+with+WSO2+Data+Analytics+Server
>>>
>>> On Thu, Jun 4, 2015 at 3:48 PM, Madawa Soysa 
>>> wrote:
>>>
 OK. Thanks. I will be there.

 On 4 June 2015 at 14:55, Nirmal Fernando  wrote:

> great.. confirmed then.
>
> On Thu, Jun 4, 2015 at 2:47 PM, Madawa Soysa 
> wrote:
>
>> Yes. Fine with 11 a.m.
>>
>> On 4 June 2015 at 14:00, Nirmal Fernando  wrote:
>>
>>> 11am ?
>>>
>>> On Thu, Jun 4, 2015 at 1:23 PM, Madawa Soysa <
>>> madawa...@cse.mrt.ac.lk> wrote:
>>>
 I'm free in the morning.

 On 4 June 2015 at 10:52, Nirmal Fernando  wrote:

> You are free tomorrow?
>
> On Thu, Jun 4, 2015 at 10:51 AM, Nirmal Fernando 
> wrote:
>
>> Ok thanks. I'll send you an invite offline.
>>
>> On Wed, Jun 3, 2015 at 9:44 PM, Madawa Soysa <
>> madawa...@cse.mrt.ac.lk> wrote:
>>
>>> Hi Nirmal,
>>>
>>> I have been playing with the Apache Spark MLlib functions and
>>> currently implementing a sample recommendation algorithm using
>>> collaborative filtering. I would like to have a meeting as soon as 
>>> possible
>>> before starting to implement the actual component about the 
>>> workflow and
>>> integration details.
>>>
>>> Thanks,
>>> Madawa.
>>>
>>> On 3 June 2015 at 08:30, Nirmal Fernando 
>>> wrote:
>>>
 Hi Madawa,

 Please send an update on your work thus far.

 On Sun, May 10, 2015 at 2:23 PM, Nirmal Fernando <
 nir...@wso2.com> wrote:

> Hi Madawa,
>
> Welcome to GSoC 15' ! As the first step, please start
> exploring recommendation algorithms of Spark (v1.3) MLLib and we 
> would like
> to see a list of supported algorithms and some information on 
> each of those.
>
> On Wed, May 6, 2015 at 9:31 AM, Madawa Soysa <
> madawa...@cse.mrt.ac.lk> wrote:
>
>> Hi Mentors,
>>
>> First of all thanks for selecting my proposal on $subject
>> . Even though coding in GSoC starts on 25th May, I would like to 
>> have a
>> discussion with mentors and start implementing as soon as 
>> possible. It
>> would be great if you can review the proposal and provide 
>> feedback.
>> Previous mail thread attached at [1]
>> 
>> .
>>
>> [1]
>> - 
>> http://wso2.markmail.org/search/%5BDev%5D+%5BGSoC-2015%5D+Proposal+11:+Recommendation+Solution+for+WSO2+Machine+Learner+from:%22Madawa+Soysa%22
>> 
>>
>> Thanks,
>> Madawa
>> --
>>
>> *_**Madawa Soysa*
>>
>> Undergraduate,
>>
>> Department of Computer Science and Engineering,
>>
>> University of Moratuwa.
>>
>>
>> Chairman,
>>
>> IEEE Computer Society Student Chapter,
>> University of Moratuwa.
>>
>>
>> Mobile: +94 75 812 0726 | Email: madawa...@cse.mrt.ac.lk
>> LinkedIn  | Twitter
>>  | Tumblr
>> 
>>
>
>
>
> --
>
> Thanks & regards,
> Nirmal
>>

Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Madawa Soysa]

Hi,

I have developed an sample application to generate recommendations using
Apache Spark MLlib and Java. Project source code can be found in GitHub[1]
. Output can be taken in
any format and in the current app, I'm printing the output to the console.
The data set used can be found here[2]
.
Please look in to this and provide feedback.

Next I'm going to modify the application to read data from implicit data
(page views, likes, time spent on page) and infer a rating. I'm referring
to [3]

on this.

Also is there any idea on how to extract data from websites?


[1] - https://github.com/madawas/spark-recommendation
[2] -
https://drive.google.com/open?id=0B5EB-AEf-NyPflRteEhzNmxFOGpROEFNbWJRa0VTcU5MeEg5WVcya1JIbGM5LVhrU3VXNTQ&authuser=0
[3] -
https://drive.google.com/open?id=0B5EB-AEf-NyPOHBPRWpRM3hvejA&authuser=0

Thanks,
Madawa.

On 5 June 2015 at 15:27, Madawa Soysa  wrote:

> Hi,
>
> Had an initial meeting with the mentors about the $subject and discussed
> following matters.
>
>- Data format to be consider in the project
>- Re-Modeling implicit data (mouse clicks, page views) that can be
>extracted from websites to explicit rating scheme.
>- publishing data to DAS and connecting ML with DAS.
>
> Currently I'm developing a sample personalized recommend system to test
> how Apache Spark uses data and how it generates the output model.
>
> Thanks,
> Madawa
>
> On 5 June 2015 at 11:22, Nirmal Fernando  wrote:
>
>> Please also send an update on the meeting to dev@
>>
>> On Fri, Jun 5, 2015 at 11:19 AM, Nirmal Fernando  wrote:
>>
>>>
>>> https://docs.wso2.com/display/ML100/Integration+with+WSO2+Data+Analytics+Server
>>>
>>> On Thu, Jun 4, 2015 at 3:48 PM, Madawa Soysa 
>>> wrote:
>>>
 OK. Thanks. I will be there.

 On 4 June 2015 at 14:55, Nirmal Fernando  wrote:

> great.. confirmed then.
>
> On Thu, Jun 4, 2015 at 2:47 PM, Madawa Soysa 
> wrote:
>
>> Yes. Fine with 11 a.m.
>>
>> On 4 June 2015 at 14:00, Nirmal Fernando  wrote:
>>
>>> 11am ?
>>>
>>> On Thu, Jun 4, 2015 at 1:23 PM, Madawa Soysa <
>>> madawa...@cse.mrt.ac.lk> wrote:
>>>
 I'm free in the morning.

 On 4 June 2015 at 10:52, Nirmal Fernando  wrote:

> You are free tomorrow?
>
> On Thu, Jun 4, 2015 at 10:51 AM, Nirmal Fernando 
> wrote:
>
>> Ok thanks. I'll send you an invite offline.
>>
>> On Wed, Jun 3, 2015 at 9:44 PM, Madawa Soysa <
>> madawa...@cse.mrt.ac.lk> wrote:
>>
>>> Hi Nirmal,
>>>
>>> I have been playing with the Apache Spark MLlib functions and
>>> currently implementing a sample recommendation algorithm using
>>> collaborative filtering. I would like to have a meeting as soon as 
>>> possible
>>> before starting to implement the actual component about the 
>>> workflow and
>>> integration details.
>>>
>>> Thanks,
>>> Madawa.
>>>
>>> On 3 June 2015 at 08:30, Nirmal Fernando 
>>> wrote:
>>>
 Hi Madawa,

 Please send an update on your work thus far.

 On Sun, May 10, 2015 at 2:23 PM, Nirmal Fernando <
 nir...@wso2.com> wrote:

> Hi Madawa,
>
> Welcome to GSoC 15' ! As the first step, please start
> exploring recommendation algorithms of Spark (v1.3) MLLib and we 
> would like
> to see a list of supported algorithms and some information on 
> each of those.
>
> On Wed, May 6, 2015 at 9:31 AM, Madawa Soysa <
> madawa...@cse.mrt.ac.lk> wrote:
>
>> Hi Mentors,
>>
>> First of all thanks for selecting my proposal on $subject
>> . Even though coding in GSoC starts on 25th May, I would like to 
>> have a
>> discussion with mentors and start implementing as soon as 
>> possible. It
>> would be great if you can review the proposal and provide 
>> feedback.
>> Previous mail thread attached at [1]
>> 
>> .
>>
>> [1]
>> - 
>> http://wso2.markmail.org/search/%5BDev%5D+%5BGSoC-2015%5D+Proposal+11:+Recommendation+Solution+for+WSO2+Machine+Learner+from:%22Madawa+Soysa%22
>> 

Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Madawa Soysa]

Hi,

In this week I have researched on collaborative filtering with implicit
feedback data (i.e session data and user behavior). I have followed [1, 2]
on this. Even though these papers provide a solution we cannot use them
since we cannot use the current implementation in Spark with these.

Also I researched on the possibility of inferring a rating using the
session data and create a new data set and push to spark, but almost all
the solutions are domain specific. Since the preferences are dependent on
item attributes.

How should I proceed? Since I have finished implementing the generic
recommendation algorithm I can integrate this with ML with a slight design
change. Can we have a discussion on this?

Thanks,
Madawa

[1] -
https://drive.google.com/file/d/0B5EB-AEf-NyPOHBPRWpRM3hvejA/view?usp=sharing
[2] -
https://drive.google.com/file/d/0B5EB-AEf-NyPbkVUV2NqZ3R5b0U/view?usp=sharing

On 16 June 2015 at 12:00, Madawa Soysa  wrote:

> Hi,
>
> I have developed an sample application to generate recommendations using
> Apache Spark MLlib and Java. Project source code can be found in GitHub[1]
> . Output can be taken in
> any format and in the current app, I'm printing the output to the console.
> The data set used can be found here[2]
> .
> Please look in to this and provide feedback.
>
> Next I'm going to modify the application to read data from implicit data
> (page views, likes, time spent on page) and infer a rating. I'm referring
> to [3]
> 
> on this.
>
> Also is there any idea on how to extract data from websites?
>
>
> [1] - https://github.com/madawas/spark-recommendation
> [2] -
> https://drive.google.com/open?id=0B5EB-AEf-NyPflRteEhzNmxFOGpROEFNbWJRa0VTcU5MeEg5WVcya1JIbGM5LVhrU3VXNTQ&authuser=0
> [3] -
> https://drive.google.com/open?id=0B5EB-AEf-NyPOHBPRWpRM3hvejA&authuser=0
>
> Thanks,
> Madawa.
>
> On 5 June 2015 at 15:27, Madawa Soysa  wrote:
>
>> Hi,
>>
>> Had an initial meeting with the mentors about the $subject and discussed
>> following matters.
>>
>>- Data format to be consider in the project
>>- Re-Modeling implicit data (mouse clicks, page views) that can be
>>extracted from websites to explicit rating scheme.
>>- publishing data to DAS and connecting ML with DAS.
>>
>> Currently I'm developing a sample personalized recommend system to test
>> how Apache Spark uses data and how it generates the output model.
>>
>> Thanks,
>> Madawa
>>
>> On 5 June 2015 at 11:22, Nirmal Fernando  wrote:
>>
>>> Please also send an update on the meeting to dev@
>>>
>>> On Fri, Jun 5, 2015 at 11:19 AM, Nirmal Fernando 
>>> wrote:
>>>

 https://docs.wso2.com/display/ML100/Integration+with+WSO2+Data+Analytics+Server

 On Thu, Jun 4, 2015 at 3:48 PM, Madawa Soysa 
 wrote:

> OK. Thanks. I will be there.
>
> On 4 June 2015 at 14:55, Nirmal Fernando  wrote:
>
>> great.. confirmed then.
>>
>> On Thu, Jun 4, 2015 at 2:47 PM, Madawa Soysa > > wrote:
>>
>>> Yes. Fine with 11 a.m.
>>>
>>> On 4 June 2015 at 14:00, Nirmal Fernando  wrote:
>>>
 11am ?

 On Thu, Jun 4, 2015 at 1:23 PM, Madawa Soysa <
 madawa...@cse.mrt.ac.lk> wrote:

> I'm free in the morning.
>
> On 4 June 2015 at 10:52, Nirmal Fernando  wrote:
>
>> You are free tomorrow?
>>
>> On Thu, Jun 4, 2015 at 10:51 AM, Nirmal Fernando > > wrote:
>>
>>> Ok thanks. I'll send you an invite offline.
>>>
>>> On Wed, Jun 3, 2015 at 9:44 PM, Madawa Soysa <
>>> madawa...@cse.mrt.ac.lk> wrote:
>>>
 Hi Nirmal,

 I have been playing with the Apache Spark MLlib functions and
 currently implementing a sample recommendation algorithm using
 collaborative filtering. I would like to have a meeting as soon as 
 possible
 before starting to implement the actual component about the 
 workflow and
 integration details.

 Thanks,
 Madawa.

 On 3 June 2015 at 08:30, Nirmal Fernando 
 wrote:

> Hi Madawa,
>
> Please send an update on your work thus far.
>
> On Sun, May 10, 2015 at 2:23 PM, Nirmal Fernando <
> nir...@wso2.com> wrote:
>
>> Hi Madawa,
>>
>> Welcome to GSoC 15' ! As the first step, please start
>> exploring recommendation algorithms of Spark (v1.3) MLLib and we 
>> would like
>> to see a list of supported algorithms and some information on 
>> 

Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Nirmal Fernando]

On Mon, Jun 22, 2015 at 9:07 AM, Madawa Soysa 
wrote:

> Hi,
>
> In this week I have researched on collaborative filtering with implicit
> feedback data (i.e session data and user behavior). I have followed [1, 2]
> on this. Even though these papers provide a solution we cannot use them
> since we cannot use the current implementation in Spark with these.
>
> Also I researched on the possibility of inferring a rating using the
> session data and create a new data set and push to spark, but almost all
> the solutions are domain specific. Since the preferences are dependent on
> item attributes.
>
> How should I proceed? Since I have finished implementing the generic
> recommendation algorithm I can integrate this with ML with a slight design
> change. Can we have a discussion on this?
>

+1, let's discuss the issue in detail.

>
> Thanks,
> Madawa
>
> [1] -
> https://drive.google.com/file/d/0B5EB-AEf-NyPOHBPRWpRM3hvejA/view?usp=sharing
> [2] -
> https://drive.google.com/file/d/0B5EB-AEf-NyPbkVUV2NqZ3R5b0U/view?usp=sharing
>
> On 16 June 2015 at 12:00, Madawa Soysa  wrote:
>
>> Hi,
>>
>> I have developed an sample application to generate recommendations using
>> Apache Spark MLlib and Java. Project source code can be found in GitHub
>> [1] . Output can be
>> taken in any format and in the current app, I'm printing the output to the
>> console. The data set used can be found here[2]
>> .
>> Please look in to this and provide feedback.
>>
>> Next I'm going to modify the application to read data from implicit data
>> (page views, likes, time spent on page) and infer a rating. I'm referring
>> to [3]
>> 
>> on this.
>>
>> Also is there any idea on how to extract data from websites?
>>
>>
>> [1] - https://github.com/madawas/spark-recommendation
>> [2] -
>> https://drive.google.com/open?id=0B5EB-AEf-NyPflRteEhzNmxFOGpROEFNbWJRa0VTcU5MeEg5WVcya1JIbGM5LVhrU3VXNTQ&authuser=0
>> [3] -
>> https://drive.google.com/open?id=0B5EB-AEf-NyPOHBPRWpRM3hvejA&authuser=0
>>
>> Thanks,
>> Madawa.
>>
>> On 5 June 2015 at 15:27, Madawa Soysa  wrote:
>>
>>> Hi,
>>>
>>> Had an initial meeting with the mentors about the $subject and discussed
>>> following matters.
>>>
>>>- Data format to be consider in the project
>>>- Re-Modeling implicit data (mouse clicks, page views) that can be
>>>extracted from websites to explicit rating scheme.
>>>- publishing data to DAS and connecting ML with DAS.
>>>
>>> Currently I'm developing a sample personalized recommend system to test
>>> how Apache Spark uses data and how it generates the output model.
>>>
>>> Thanks,
>>> Madawa
>>>
>>> On 5 June 2015 at 11:22, Nirmal Fernando  wrote:
>>>
 Please also send an update on the meeting to dev@

 On Fri, Jun 5, 2015 at 11:19 AM, Nirmal Fernando 
 wrote:

>
> https://docs.wso2.com/display/ML100/Integration+with+WSO2+Data+Analytics+Server
>
> On Thu, Jun 4, 2015 at 3:48 PM, Madawa Soysa 
> wrote:
>
>> OK. Thanks. I will be there.
>>
>> On 4 June 2015 at 14:55, Nirmal Fernando  wrote:
>>
>>> great.. confirmed then.
>>>
>>> On Thu, Jun 4, 2015 at 2:47 PM, Madawa Soysa <
>>> madawa...@cse.mrt.ac.lk> wrote:
>>>
 Yes. Fine with 11 a.m.

 On 4 June 2015 at 14:00, Nirmal Fernando  wrote:

> 11am ?
>
> On Thu, Jun 4, 2015 at 1:23 PM, Madawa Soysa <
> madawa...@cse.mrt.ac.lk> wrote:
>
>> I'm free in the morning.
>>
>> On 4 June 2015 at 10:52, Nirmal Fernando  wrote:
>>
>>> You are free tomorrow?
>>>
>>> On Thu, Jun 4, 2015 at 10:51 AM, Nirmal Fernando <
>>> nir...@wso2.com> wrote:
>>>
 Ok thanks. I'll send you an invite offline.

 On Wed, Jun 3, 2015 at 9:44 PM, Madawa Soysa <
 madawa...@cse.mrt.ac.lk> wrote:

> Hi Nirmal,
>
> I have been playing with the Apache Spark MLlib functions and
> currently implementing a sample recommendation algorithm using
> collaborative filtering. I would like to have a meeting as soon 
> as possible
> before starting to implement the actual component about the 
> workflow and
> integration details.
>
> Thanks,
> Madawa.
>
> On 3 June 2015 at 08:30, Nirmal Fernando 
> wrote:
>
>> Hi Madawa,
>>
>> Please send an update on your work thus far.
>>
>> On Sun, May 10, 2015 at 2:23 PM, Nirmal Fernando <
>> nir...@wso2.com> wrote:
>>

Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Srinath Perera]

Can we meet Wednesday 10.30 at WSO2 Trace office?

On Mon, Jun 22, 2015 at 9:10 AM, Nirmal Fernando  wrote:

>
>
> On Mon, Jun 22, 2015 at 9:07 AM, Madawa Soysa 
> wrote:
>
>> Hi,
>>
>> In this week I have researched on collaborative filtering with implicit
>> feedback data (i.e session data and user behavior). I have followed [1, 2]
>> on this. Even though these papers provide a solution we cannot use them
>> since we cannot use the current implementation in Spark with these.
>>
>> Also I researched on the possibility of inferring a rating using the
>> session data and create a new data set and push to spark, but almost all
>> the solutions are domain specific. Since the preferences are dependent on
>> item attributes.
>>
>> How should I proceed? Since I have finished implementing the generic
>> recommendation algorithm I can integrate this with ML with a slight design
>> change. Can we have a discussion on this?
>>
>
> +1, let's discuss the issue in detail.
>
>>
>> Thanks,
>> Madawa
>>
>> [1] -
>> https://drive.google.com/file/d/0B5EB-AEf-NyPOHBPRWpRM3hvejA/view?usp=sharing
>> [2] -
>> https://drive.google.com/file/d/0B5EB-AEf-NyPbkVUV2NqZ3R5b0U/view?usp=sharing
>>
>> On 16 June 2015 at 12:00, Madawa Soysa  wrote:
>>
>>> Hi,
>>>
>>> I have developed an sample application to generate recommendations using
>>> Apache Spark MLlib and Java. Project source code can be found in GitHub
>>> [1] . Output can be
>>> taken in any format and in the current app, I'm printing the output to the
>>> console. The data set used can be found here[2]
>>> .
>>> Please look in to this and provide feedback.
>>>
>>> Next I'm going to modify the application to read data from implicit data
>>> (page views, likes, time spent on page) and infer a rating. I'm referring
>>> to [3]
>>> 
>>> on this.
>>>
>>> Also is there any idea on how to extract data from websites?
>>>
>>>
>>> [1] - https://github.com/madawas/spark-recommendation
>>> [2] -
>>> https://drive.google.com/open?id=0B5EB-AEf-NyPflRteEhzNmxFOGpROEFNbWJRa0VTcU5MeEg5WVcya1JIbGM5LVhrU3VXNTQ&authuser=0
>>> [3] -
>>> https://drive.google.com/open?id=0B5EB-AEf-NyPOHBPRWpRM3hvejA&authuser=0
>>>
>>> Thanks,
>>> Madawa.
>>>
>>> On 5 June 2015 at 15:27, Madawa Soysa  wrote:
>>>
 Hi,

 Had an initial meeting with the mentors about the $subject and
 discussed following matters.

- Data format to be consider in the project
- Re-Modeling implicit data (mouse clicks, page views) that can be
extracted from websites to explicit rating scheme.
- publishing data to DAS and connecting ML with DAS.

 Currently I'm developing a sample personalized recommend system to test
 how Apache Spark uses data and how it generates the output model.

 Thanks,
 Madawa

 On 5 June 2015 at 11:22, Nirmal Fernando  wrote:

> Please also send an update on the meeting to dev@
>
> On Fri, Jun 5, 2015 at 11:19 AM, Nirmal Fernando 
> wrote:
>
>>
>> https://docs.wso2.com/display/ML100/Integration+with+WSO2+Data+Analytics+Server
>>
>> On Thu, Jun 4, 2015 at 3:48 PM, Madawa Soysa > > wrote:
>>
>>> OK. Thanks. I will be there.
>>>
>>> On 4 June 2015 at 14:55, Nirmal Fernando  wrote:
>>>
 great.. confirmed then.

 On Thu, Jun 4, 2015 at 2:47 PM, Madawa Soysa <
 madawa...@cse.mrt.ac.lk> wrote:

> Yes. Fine with 11 a.m.
>
> On 4 June 2015 at 14:00, Nirmal Fernando  wrote:
>
>> 11am ?
>>
>> On Thu, Jun 4, 2015 at 1:23 PM, Madawa Soysa <
>> madawa...@cse.mrt.ac.lk> wrote:
>>
>>> I'm free in the morning.
>>>
>>> On 4 June 2015 at 10:52, Nirmal Fernando 
>>> wrote:
>>>
 You are free tomorrow?

 On Thu, Jun 4, 2015 at 10:51 AM, Nirmal Fernando <
 nir...@wso2.com> wrote:

> Ok thanks. I'll send you an invite offline.
>
> On Wed, Jun 3, 2015 at 9:44 PM, Madawa Soysa <
> madawa...@cse.mrt.ac.lk> wrote:
>
>> Hi Nirmal,
>>
>> I have been playing with the Apache Spark MLlib functions and
>> currently implementing a sample recommendation algorithm using
>> collaborative filtering. I would like to have a meeting as soon 
>> as possible
>> before starting to implement the actual component about the 
>> workflow and
>> integration details.
>>
>> Thanks,
>> Madawa.
>>
>> On 3 June 2015 at 08:30, Nirmal Fernando 
>

Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Madawa Soysa]

Hi,

I found a solution for the above issue. I could use most common feedback
such as views and purchases as the implicit data. I'm working on this right
now.

On 22 June 2015 at 09:26, Madawa Soysa  wrote:

> I have lectures in Wednesday morning till 12.15. I'll be free after that.
>
> On 22 June 2015 at 09:24, Srinath Perera  wrote:
>
>> Can we meet Wednesday 10.30 at WSO2 Trace office?
>>
>> On Mon, Jun 22, 2015 at 9:10 AM, Nirmal Fernando  wrote:
>>
>>>
>>>
>>> On Mon, Jun 22, 2015 at 9:07 AM, Madawa Soysa 
>>> wrote:
>>>
 Hi,

 In this week I have researched on collaborative filtering with implicit
 feedback data (i.e session data and user behavior). I have followed [1, 2]
 on this. Even though these papers provide a solution we cannot use them
 since we cannot use the current implementation in Spark with these.

 Also I researched on the possibility of inferring a rating using the
 session data and create a new data set and push to spark, but almost all
 the solutions are domain specific. Since the preferences are dependent on
 item attributes.

 How should I proceed? Since I have finished implementing the generic
 recommendation algorithm I can integrate this with ML with a slight design
 change. Can we have a discussion on this?

>>>
>>> +1, let's discuss the issue in detail.
>>>

 Thanks,
 Madawa

 [1] -
 https://drive.google.com/file/d/0B5EB-AEf-NyPOHBPRWpRM3hvejA/view?usp=sharing
 [2] -
 https://drive.google.com/file/d/0B5EB-AEf-NyPbkVUV2NqZ3R5b0U/view?usp=sharing

 On 16 June 2015 at 12:00, Madawa Soysa  wrote:

> Hi,
>
> I have developed an sample application to generate recommendations
> using Apache Spark MLlib and Java. Project source code can be found in
> GitHub[1] . Output
> can be taken in any format and in the current app, I'm printing the output
> to the console. The data set used can be found here[2]
> .
> Please look in to this and provide feedback.
>
> Next I'm going to modify the application to read data from implicit
> data (page views, likes, time spent on page) and infer a rating. I'm
> referring to [3]
> 
> on this.
>
> Also is there any idea on how to extract data from websites?
>
>
> [1] - https://github.com/madawas/spark-recommendation
> [2] -
> https://drive.google.com/open?id=0B5EB-AEf-NyPflRteEhzNmxFOGpROEFNbWJRa0VTcU5MeEg5WVcya1JIbGM5LVhrU3VXNTQ&authuser=0
> [3] -
> https://drive.google.com/open?id=0B5EB-AEf-NyPOHBPRWpRM3hvejA&authuser=0
>
> Thanks,
> Madawa.
>
> On 5 June 2015 at 15:27, Madawa Soysa  wrote:
>
>> Hi,
>>
>> Had an initial meeting with the mentors about the $subject and
>> discussed following matters.
>>
>>- Data format to be consider in the project
>>- Re-Modeling implicit data (mouse clicks, page views) that can
>>be extracted from websites to explicit rating scheme.
>>- publishing data to DAS and connecting ML with DAS.
>>
>> Currently I'm developing a sample personalized recommend system to
>> test how Apache Spark uses data and how it generates the output model.
>>
>> Thanks,
>> Madawa
>>
>> On 5 June 2015 at 11:22, Nirmal Fernando  wrote:
>>
>>> Please also send an update on the meeting to dev@
>>>
>>> On Fri, Jun 5, 2015 at 11:19 AM, Nirmal Fernando 
>>> wrote:
>>>

 https://docs.wso2.com/display/ML100/Integration+with+WSO2+Data+Analytics+Server

 On Thu, Jun 4, 2015 at 3:48 PM, Madawa Soysa <
 madawa...@cse.mrt.ac.lk> wrote:

> OK. Thanks. I will be there.
>
> On 4 June 2015 at 14:55, Nirmal Fernando  wrote:
>
>> great.. confirmed then.
>>
>> On Thu, Jun 4, 2015 at 2:47 PM, Madawa Soysa <
>> madawa...@cse.mrt.ac.lk> wrote:
>>
>>> Yes. Fine with 11 a.m.
>>>
>>> On 4 June 2015 at 14:00, Nirmal Fernando 
>>> wrote:
>>>
 11am ?

 On Thu, Jun 4, 2015 at 1:23 PM, Madawa Soysa <
 madawa...@cse.mrt.ac.lk> wrote:

> I'm free in the morning.
>
> On 4 June 2015 at 10:52, Nirmal Fernando 
> wrote:
>
>> You are free tomorrow?
>>
>> On Thu, Jun 4, 2015 at 10:51 AM, Nirmal Fernando <
>> nir...@wso2.com> wrote:
>>
>>> Ok thanks. I'll send you an invite offline.
>>>
>>> On Wed, Jun 3, 2015 at 9:44 PM, Madawa Soysa <
>

Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Nirmal Fernando]

Great!

On Tue, Jun 23, 2015 at 9:03 PM, Madawa Soysa 
wrote:

> Hi,
>
> I found a solution for the above issue. I could use most common feedback
> such as views and purchases as the implicit data. I'm working on this right
> now.
>
> On 22 June 2015 at 09:26, Madawa Soysa  wrote:
>
>> I have lectures in Wednesday morning till 12.15. I'll be free after that.
>>
>> On 22 June 2015 at 09:24, Srinath Perera  wrote:
>>
>>> Can we meet Wednesday 10.30 at WSO2 Trace office?
>>>
>>> On Mon, Jun 22, 2015 at 9:10 AM, Nirmal Fernando 
>>> wrote:
>>>


 On Mon, Jun 22, 2015 at 9:07 AM, Madawa Soysa 
 wrote:

> Hi,
>
> In this week I have researched on collaborative filtering with
> implicit feedback data (i.e session data and user behavior). I have
> followed [1, 2] on this. Even though these papers provide a solution we
> cannot use them since we cannot use the current implementation in Spark
> with these.
>
> Also I researched on the possibility of inferring a rating using the
> session data and create a new data set and push to spark, but almost all
> the solutions are domain specific. Since the preferences are dependent on
> item attributes.
>
> How should I proceed? Since I have finished implementing the generic
> recommendation algorithm I can integrate this with ML with a slight design
> change. Can we have a discussion on this?
>

 +1, let's discuss the issue in detail.

>
> Thanks,
> Madawa
>
> [1] -
> https://drive.google.com/file/d/0B5EB-AEf-NyPOHBPRWpRM3hvejA/view?usp=sharing
> [2] -
> https://drive.google.com/file/d/0B5EB-AEf-NyPbkVUV2NqZ3R5b0U/view?usp=sharing
>
> On 16 June 2015 at 12:00, Madawa Soysa 
> wrote:
>
>> Hi,
>>
>> I have developed an sample application to generate recommendations
>> using Apache Spark MLlib and Java. Project source code can be found in
>> GitHub[1] . Output
>> can be taken in any format and in the current app, I'm printing the 
>> output
>> to the console. The data set used can be found here[2]
>> .
>> Please look in to this and provide feedback.
>>
>> Next I'm going to modify the application to read data from implicit
>> data (page views, likes, time spent on page) and infer a rating. I'm
>> referring to [3]
>> 
>> on this.
>>
>> Also is there any idea on how to extract data from websites?
>>
>>
>> [1] - https://github.com/madawas/spark-recommendation
>> [2] -
>> https://drive.google.com/open?id=0B5EB-AEf-NyPflRteEhzNmxFOGpROEFNbWJRa0VTcU5MeEg5WVcya1JIbGM5LVhrU3VXNTQ&authuser=0
>> [3] -
>> https://drive.google.com/open?id=0B5EB-AEf-NyPOHBPRWpRM3hvejA&authuser=0
>>
>> Thanks,
>> Madawa.
>>
>> On 5 June 2015 at 15:27, Madawa Soysa 
>> wrote:
>>
>>> Hi,
>>>
>>> Had an initial meeting with the mentors about the $subject and
>>> discussed following matters.
>>>
>>>- Data format to be consider in the project
>>>- Re-Modeling implicit data (mouse clicks, page views) that can
>>>be extracted from websites to explicit rating scheme.
>>>- publishing data to DAS and connecting ML with DAS.
>>>
>>> Currently I'm developing a sample personalized recommend system to
>>> test how Apache Spark uses data and how it generates the output model.
>>>
>>> Thanks,
>>> Madawa
>>>
>>> On 5 June 2015 at 11:22, Nirmal Fernando  wrote:
>>>
 Please also send an update on the meeting to dev@

 On Fri, Jun 5, 2015 at 11:19 AM, Nirmal Fernando 
 wrote:

>
> https://docs.wso2.com/display/ML100/Integration+with+WSO2+Data+Analytics+Server
>
> On Thu, Jun 4, 2015 at 3:48 PM, Madawa Soysa <
> madawa...@cse.mrt.ac.lk> wrote:
>
>> OK. Thanks. I will be there.
>>
>> On 4 June 2015 at 14:55, Nirmal Fernando  wrote:
>>
>>> great.. confirmed then.
>>>
>>> On Thu, Jun 4, 2015 at 2:47 PM, Madawa Soysa <
>>> madawa...@cse.mrt.ac.lk> wrote:
>>>
 Yes. Fine with 11 a.m.

 On 4 June 2015 at 14:00, Nirmal Fernando 
 wrote:

> 11am ?
>
> On Thu, Jun 4, 2015 at 1:23 PM, Madawa Soysa <
> madawa...@cse.mrt.ac.lk> wrote:
>
>> I'm free in the morning.
>>
>> On 4 June 2015 at 10:52, Nirmal Fernando 
>> wrote:
>>
>>> You are free tomorrow?
>>>
>>> On Thu, Jun 4, 2015 a

Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Madawa Soysa]

Hi Nirmal,

I have done following work so far in the project.

   - Implemented the recommendation algorithm using java and spark. A
   sample source code is hosted at [1]
   

   - Researched on *inferring a rating through implicit feedback data*,
collaborative filtering with implicit feedback data and using existing
   functions on spark to work with implicit data and recommending.
   After reading several papers and documents, I decided to use *weighted
   average of product page views and purchases* as the inferred observation
   as the preference value.

   - Started integrating the algorithms to carbon-ml. [2]
   

[1] - https://github.com/madawas/spark-recommendation
[2] - https://github.com/madawas/carbon-ml/tree/recommendation


Regards,
Madawa

On 1 July 2015 at 22:25, Nirmal Fernando  wrote:

> Hi Madawa,
>
> Please send the current status/work carried out of the project, that will
> help us to set the future goals.
>
> On Fri, Jun 26, 2015 at 12:09 PM, Madawa Soysa 
> wrote:
>
>> Sure, let's meet next week.
>>
>> On 25 June 2015 at 14:44, Srinath Perera  wrote:
>>
>>> Madawa, sorry for being late to respond. Lets planning to meet on week
>>> of july 07 ( I am traveling). Meet Nirmal before if needed.
>>>
>>> --Srinath
>>>
>>> On Mon, Jun 22, 2015 at 9:26 AM, Madawa Soysa 
>>> wrote:
>>>
 I have lectures in Wednesday morning till 12.15. I'll be free after
 that.

 On 22 June 2015 at 09:24, Srinath Perera  wrote:

> Can we meet Wednesday 10.30 at WSO2 Trace office?
>
> On Mon, Jun 22, 2015 at 9:10 AM, Nirmal Fernando 
> wrote:
>
>>
>>
>> On Mon, Jun 22, 2015 at 9:07 AM, Madawa Soysa <
>> madawa...@cse.mrt.ac.lk> wrote:
>>
>>> Hi,
>>>
>>> In this week I have researched on collaborative filtering with
>>> implicit feedback data (i.e session data and user behavior). I have
>>> followed [1, 2] on this. Even though these papers provide a solution we
>>> cannot use them since we cannot use the current implementation in Spark
>>> with these.
>>>
>>> Also I researched on the possibility of inferring a rating using the
>>> session data and create a new data set and push to spark, but almost all
>>> the solutions are domain specific. Since the preferences are dependent 
>>> on
>>> item attributes.
>>>
>>> How should I proceed? Since I have finished implementing the generic
>>> recommendation algorithm I can integrate this with ML with a slight 
>>> design
>>> change. Can we have a discussion on this?
>>>
>>
>> +1, let's discuss the issue in detail.
>>
>>>
>>> Thanks,
>>> Madawa
>>>
>>> [1] -
>>> https://drive.google.com/file/d/0B5EB-AEf-NyPOHBPRWpRM3hvejA/view?usp=sharing
>>> [2] -
>>> https://drive.google.com/file/d/0B5EB-AEf-NyPbkVUV2NqZ3R5b0U/view?usp=sharing
>>>
>>> On 16 June 2015 at 12:00, Madawa Soysa 
>>> wrote:
>>>
 Hi,

 I have developed an sample application to generate recommendations
 using Apache Spark MLlib and Java. Project source code can be found in
 GitHub[1] .
 Output can be taken in any format and in the current app, I'm printing 
 the
 output to the console. The data set used can be found here[2]
 .
 Please look in to this and provide feedback.

 Next I'm going to modify the application to read data from implicit
 data (page views, likes, time spent on page) and infer a rating. I'm
 referring to [3]
 
 on this.

 Also is there any idea on how to extract data from websites?


 [1] - https://github.com/madawas/spark-recommendation
 [2] -
 https://drive.google.com/open?id=0B5EB-AEf-NyPflRteEhzNmxFOGpROEFNbWJRa0VTcU5MeEg5WVcya1JIbGM5LVhrU3VXNTQ&authuser=0
 [3] -
 https://drive.google.com/open?id=0B5EB-AEf-NyPOHBPRWpRM3hvejA&authuser=0

 Thanks,
 Madawa.

 On 5 June 2015 at 15:27, Madawa Soysa 
 wrote:

> Hi,
>
> Had an initial meeting with the mentors about the $subject and
> discussed following matters.
>
>- Data format to be consider in the project
>- Re-Modeling implicit data (mouse clicks, page views) that
>can be extracted from websites to explicit rating scheme.
>- publishing data to DAS and connecting ML with DAS.
>
> Currently I'm developing a sample personalized recommend system to
>>>

Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Nirmal Fernando]

Thanks Madawa.

On Wed, Jul 1, 2015 at 11:46 PM, Madawa Soysa 
wrote:

> Hi Nirmal,
>
> I have done following work so far in the project.
>
>- Implemented the recommendation algorithm using java and spark. A
>sample source code is hosted at [1]
>
>
>- Researched on *inferring a rating through implicit feedback data*,
> collaborative filtering with implicit feedback data and using existing
>functions on spark to work with implicit data and recommending.
>After reading several papers and documents, I decided to use *weighted
>average of product page views and purchases* as the inferred
>observation as the preference value.
>
>- Started integrating the algorithms to carbon-ml. [2]
>
>
> [1] - https://github.com/madawas/spark-recommendation
> [2] - https://github.com/madawas/carbon-ml/tree/recommendation
>
>
> Regards,
> Madawa
>
> On 1 July 2015 at 22:25, Nirmal Fernando  wrote:
>
>> Hi Madawa,
>>
>> Please send the current status/work carried out of the project, that will
>> help us to set the future goals.
>>
>> On Fri, Jun 26, 2015 at 12:09 PM, Madawa Soysa 
>> wrote:
>>
>>> Sure, let's meet next week.
>>>
>>> On 25 June 2015 at 14:44, Srinath Perera  wrote:
>>>
 Madawa, sorry for being late to respond. Lets planning to meet on week
 of july 07 ( I am traveling). Meet Nirmal before if needed.

 --Srinath

 On Mon, Jun 22, 2015 at 9:26 AM, Madawa Soysa 
 wrote:

> I have lectures in Wednesday morning till 12.15. I'll be free after
> that.
>
> On 22 June 2015 at 09:24, Srinath Perera  wrote:
>
>> Can we meet Wednesday 10.30 at WSO2 Trace office?
>>
>> On Mon, Jun 22, 2015 at 9:10 AM, Nirmal Fernando 
>> wrote:
>>
>>>
>>>
>>> On Mon, Jun 22, 2015 at 9:07 AM, Madawa Soysa <
>>> madawa...@cse.mrt.ac.lk> wrote:
>>>
 Hi,

 In this week I have researched on collaborative filtering with
 implicit feedback data (i.e session data and user behavior). I have
 followed [1, 2] on this. Even though these papers provide a solution we
 cannot use them since we cannot use the current implementation in Spark
 with these.

 Also I researched on the possibility of inferring a rating using
 the session data and create a new data set and push to spark, but 
 almost
 all the solutions are domain specific. Since the preferences are 
 dependent
 on item attributes.

 How should I proceed? Since I have finished implementing the
 generic recommendation algorithm I can integrate this with ML with a 
 slight
 design change. Can we have a discussion on this?

>>>
>>> +1, let's discuss the issue in detail.
>>>

 Thanks,
 Madawa

 [1] -
 https://drive.google.com/file/d/0B5EB-AEf-NyPOHBPRWpRM3hvejA/view?usp=sharing
 [2] -
 https://drive.google.com/file/d/0B5EB-AEf-NyPbkVUV2NqZ3R5b0U/view?usp=sharing

 On 16 June 2015 at 12:00, Madawa Soysa 
 wrote:

> Hi,
>
> I have developed an sample application to generate recommendations
> using Apache Spark MLlib and Java. Project source code can be found in
> GitHub[1] .
> Output can be taken in any format and in the current app, I'm 
> printing the
> output to the console. The data set used can be found here[2]
> .
> Please look in to this and provide feedback.
>
> Next I'm going to modify the application to read data from
> implicit data (page views, likes, time spent on page) and infer a 
> rating.
> I'm referring to [3]
> 
> on this.
>
> Also is there any idea on how to extract data from websites?
>
>
> [1] - https://github.com/madawas/spark-recommendation
> [2] -
> https://drive.google.com/open?id=0B5EB-AEf-NyPflRteEhzNmxFOGpROEFNbWJRa0VTcU5MeEg5WVcya1JIbGM5LVhrU3VXNTQ&authuser=0
> [3] -
> https://drive.google.com/open?id=0B5EB-AEf-NyPOHBPRWpRM3hvejA&authuser=0
>
> Thanks,
> Madawa.
>
> On 5 June 2015 at 15:27, Madawa Soysa 
> wrote:
>
>> Hi,
>>
>> Had an initial meeting with the mentors about the $subject and
>> discussed following matters.
>>
>>- Data format to be consider in the project
>>- Re-Modeling implicit data (mouse clicks, pag

Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Nirmal Fernando]

Hi Madawa,

Please check this presentation
https://spark-summit.org/2015/events/a-more-scalable-way-of-making-recommendations-with-mllib/

On Thu, Jul 2, 2015 at 9:22 AM, Nirmal Fernando  wrote:

> Thanks Madawa.
>
> On Wed, Jul 1, 2015 at 11:46 PM, Madawa Soysa 
> wrote:
>
>> Hi Nirmal,
>>
>> I have done following work so far in the project.
>>
>>- Implemented the recommendation algorithm using java and spark. A
>>sample source code is hosted at [1]
>>
>>
>>- Researched on *inferring a rating through implicit feedback data*,
>> collaborative filtering with implicit feedback data and using existing
>>functions on spark to work with implicit data and recommending.
>>After reading several papers and documents, I decided to use *weighted
>>average of product page views and purchases* as the inferred
>>observation as the preference value.
>>
>>- Started integrating the algorithms to carbon-ml. [2]
>>
>>
>> [1] - https://github.com/madawas/spark-recommendation
>> [2] - https://github.com/madawas/carbon-ml/tree/recommendation
>>
>>
>> Regards,
>> Madawa
>>
>> On 1 July 2015 at 22:25, Nirmal Fernando  wrote:
>>
>>> Hi Madawa,
>>>
>>> Please send the current status/work carried out of the project, that
>>> will help us to set the future goals.
>>>
>>> On Fri, Jun 26, 2015 at 12:09 PM, Madawa Soysa 
>>> wrote:
>>>
 Sure, let's meet next week.

 On 25 June 2015 at 14:44, Srinath Perera  wrote:

> Madawa, sorry for being late to respond. Lets planning to meet on week
> of july 07 ( I am traveling). Meet Nirmal before if needed.
>
> --Srinath
>
> On Mon, Jun 22, 2015 at 9:26 AM, Madawa Soysa  > wrote:
>
>> I have lectures in Wednesday morning till 12.15. I'll be free after
>> that.
>>
>> On 22 June 2015 at 09:24, Srinath Perera  wrote:
>>
>>> Can we meet Wednesday 10.30 at WSO2 Trace office?
>>>
>>> On Mon, Jun 22, 2015 at 9:10 AM, Nirmal Fernando 
>>> wrote:
>>>


 On Mon, Jun 22, 2015 at 9:07 AM, Madawa Soysa <
 madawa...@cse.mrt.ac.lk> wrote:

> Hi,
>
> In this week I have researched on collaborative filtering with
> implicit feedback data (i.e session data and user behavior). I have
> followed [1, 2] on this. Even though these papers provide a solution 
> we
> cannot use them since we cannot use the current implementation in 
> Spark
> with these.
>
> Also I researched on the possibility of inferring a rating using
> the session data and create a new data set and push to spark, but 
> almost
> all the solutions are domain specific. Since the preferences are 
> dependent
> on item attributes.
>
> How should I proceed? Since I have finished implementing the
> generic recommendation algorithm I can integrate this with ML with a 
> slight
> design change. Can we have a discussion on this?
>

 +1, let's discuss the issue in detail.

>
> Thanks,
> Madawa
>
> [1] -
> https://drive.google.com/file/d/0B5EB-AEf-NyPOHBPRWpRM3hvejA/view?usp=sharing
> [2] -
> https://drive.google.com/file/d/0B5EB-AEf-NyPbkVUV2NqZ3R5b0U/view?usp=sharing
>
> On 16 June 2015 at 12:00, Madawa Soysa 
> wrote:
>
>> Hi,
>>
>> I have developed an sample application to generate
>> recommendations using Apache Spark MLlib and Java. Project source 
>> code can
>> be found in GitHub[1]
>> . Output can be
>> taken in any format and in the current app, I'm printing the output 
>> to the
>> console. The data set used can be found here[2]
>> .
>> Please look in to this and provide feedback.
>>
>> Next I'm going to modify the application to read data from
>> implicit data (page views, likes, time spent on page) and infer a 
>> rating.
>> I'm referring to [3]
>> 
>> on this.
>>
>> Also is there any idea on how to extract data from websites?
>>
>>
>> [1] - https://github.com/madawas/spark-recommendation
>> [2] -
>> https://drive.google.com/open?id=0B5EB-AEf-NyPflRteEhzNmxFOGpROEFNbWJRa0VTcU5MeEg5WVcya1JIbGM5LVhrU3VXNTQ&authuser=0
>> [3] -
>> https://drive.google.com/open?id=0B5EB-AEf-NyPOHBPRWpRM3hvejA&authuser=0
>>
>> Thanks,

Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Madawa Soysa]

Hi Nirmal,

Thanks for the link. I will check it.

On 6 July 2015 at 07:27, Nirmal Fernando  wrote:

> Hi Madawa,
>
> Please check this presentation
> https://spark-summit.org/2015/events/a-more-scalable-way-of-making-recommendations-with-mllib/
>
> On Thu, Jul 2, 2015 at 9:22 AM, Nirmal Fernando  wrote:
>
>> Thanks Madawa.
>>
>> On Wed, Jul 1, 2015 at 11:46 PM, Madawa Soysa 
>> wrote:
>>
>>> Hi Nirmal,
>>>
>>> I have done following work so far in the project.
>>>
>>>- Implemented the recommendation algorithm using java and spark. A
>>>sample source code is hosted at [1]
>>>
>>>
>>>- Researched on *inferring a rating through implicit feedback data*,
>>> collaborative filtering with implicit feedback data and using existing
>>>functions on spark to work with implicit data and recommending.
>>>After reading several papers and documents, I decided to use *weighted
>>>average of product page views and purchases* as the inferred
>>>observation as the preference value.
>>>
>>>- Started integrating the algorithms to carbon-ml. [2]
>>>
>>>
>>> [1] - https://github.com/madawas/spark-recommendation
>>> [2] - https://github.com/madawas/carbon-ml/tree/recommendation
>>>
>>>
>>> Regards,
>>> Madawa
>>>
>>> On 1 July 2015 at 22:25, Nirmal Fernando  wrote:
>>>
 Hi Madawa,

 Please send the current status/work carried out of the project, that
 will help us to set the future goals.

 On Fri, Jun 26, 2015 at 12:09 PM, Madawa Soysa >>> > wrote:

> Sure, let's meet next week.
>
> On 25 June 2015 at 14:44, Srinath Perera  wrote:
>
>> Madawa, sorry for being late to respond. Lets planning to meet on
>> week of july 07 ( I am traveling). Meet Nirmal before if needed.
>>
>> --Srinath
>>
>> On Mon, Jun 22, 2015 at 9:26 AM, Madawa Soysa <
>> madawa...@cse.mrt.ac.lk> wrote:
>>
>>> I have lectures in Wednesday morning till 12.15. I'll be free after
>>> that.
>>>
>>> On 22 June 2015 at 09:24, Srinath Perera  wrote:
>>>
 Can we meet Wednesday 10.30 at WSO2 Trace office?

 On Mon, Jun 22, 2015 at 9:10 AM, Nirmal Fernando 
 wrote:

>
>
> On Mon, Jun 22, 2015 at 9:07 AM, Madawa Soysa <
> madawa...@cse.mrt.ac.lk> wrote:
>
>> Hi,
>>
>> In this week I have researched on collaborative filtering with
>> implicit feedback data (i.e session data and user behavior). I have
>> followed [1, 2] on this. Even though these papers provide a solution 
>> we
>> cannot use them since we cannot use the current implementation in 
>> Spark
>> with these.
>>
>> Also I researched on the possibility of inferring a rating using
>> the session data and create a new data set and push to spark, but 
>> almost
>> all the solutions are domain specific. Since the preferences are 
>> dependent
>> on item attributes.
>>
>> How should I proceed? Since I have finished implementing the
>> generic recommendation algorithm I can integrate this with ML with a 
>> slight
>> design change. Can we have a discussion on this?
>>
>
> +1, let's discuss the issue in detail.
>
>>
>> Thanks,
>> Madawa
>>
>> [1] -
>> https://drive.google.com/file/d/0B5EB-AEf-NyPOHBPRWpRM3hvejA/view?usp=sharing
>> [2] -
>> https://drive.google.com/file/d/0B5EB-AEf-NyPbkVUV2NqZ3R5b0U/view?usp=sharing
>>
>> On 16 June 2015 at 12:00, Madawa Soysa 
>> wrote:
>>
>>> Hi,
>>>
>>> I have developed an sample application to generate
>>> recommendations using Apache Spark MLlib and Java. Project source 
>>> code can
>>> be found in GitHub[1]
>>> . Output can
>>> be taken in any format and in the current app, I'm printing the 
>>> output to
>>> the console. The data set used can be found here[2]
>>> .
>>> Please look in to this and provide feedback.
>>>
>>> Next I'm going to modify the application to read data from
>>> implicit data (page views, likes, time spent on page) and infer a 
>>> rating.
>>> I'm referring to [3]
>>> 
>>> on this.
>>>
>>> Also is there any idea on how to extract data from websites?
>>>
>>>
>>> [1] - https://github.com/madawas/spark-recommendation
>

Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Madawa Soysa]

Hi Nirmal,

I added the details of the new algorithm to the machine-learner.xml. But
the UI doesn't show the new algorithm to select when creating an analysis.
What would be the reason? Any idea how to fix it?

On 6 July 2015 at 12:17, Madawa Soysa  wrote:

> Hi Nirmal,
>
> Thanks for the link. I will check it.
>
> On 6 July 2015 at 07:27, Nirmal Fernando  wrote:
>
>> Hi Madawa,
>>
>> Please check this presentation
>> https://spark-summit.org/2015/events/a-more-scalable-way-of-making-recommendations-with-mllib/
>>
>> On Thu, Jul 2, 2015 at 9:22 AM, Nirmal Fernando  wrote:
>>
>>> Thanks Madawa.
>>>
>>> On Wed, Jul 1, 2015 at 11:46 PM, Madawa Soysa 
>>> wrote:
>>>
 Hi Nirmal,

 I have done following work so far in the project.

- Implemented the recommendation algorithm using java and spark. A
sample source code is hosted at [1]


- Researched on *inferring a rating through implicit feedback data*,
 collaborative filtering with implicit feedback data and using existing
functions on spark to work with implicit data and recommending.
After reading several papers and documents, I decided to use *weighted
average of product page views and purchases* as the inferred
observation as the preference value.

- Started integrating the algorithms to carbon-ml. [2]


 [1] - https://github.com/madawas/spark-recommendation
 [2] - https://github.com/madawas/carbon-ml/tree/recommendation


 Regards,
 Madawa

 On 1 July 2015 at 22:25, Nirmal Fernando  wrote:

> Hi Madawa,
>
> Please send the current status/work carried out of the project, that
> will help us to set the future goals.
>
> On Fri, Jun 26, 2015 at 12:09 PM, Madawa Soysa <
> madawa...@cse.mrt.ac.lk> wrote:
>
>> Sure, let's meet next week.
>>
>> On 25 June 2015 at 14:44, Srinath Perera  wrote:
>>
>>> Madawa, sorry for being late to respond. Lets planning to meet on
>>> week of july 07 ( I am traveling). Meet Nirmal before if needed.
>>>
>>> --Srinath
>>>
>>> On Mon, Jun 22, 2015 at 9:26 AM, Madawa Soysa <
>>> madawa...@cse.mrt.ac.lk> wrote:
>>>
 I have lectures in Wednesday morning till 12.15. I'll be free after
 that.

 On 22 June 2015 at 09:24, Srinath Perera  wrote:

> Can we meet Wednesday 10.30 at WSO2 Trace office?
>
> On Mon, Jun 22, 2015 at 9:10 AM, Nirmal Fernando 
> wrote:
>
>>
>>
>> On Mon, Jun 22, 2015 at 9:07 AM, Madawa Soysa <
>> madawa...@cse.mrt.ac.lk> wrote:
>>
>>> Hi,
>>>
>>> In this week I have researched on collaborative filtering with
>>> implicit feedback data (i.e session data and user behavior). I have
>>> followed [1, 2] on this. Even though these papers provide a 
>>> solution we
>>> cannot use them since we cannot use the current implementation in 
>>> Spark
>>> with these.
>>>
>>> Also I researched on the possibility of inferring a rating using
>>> the session data and create a new data set and push to spark, but 
>>> almost
>>> all the solutions are domain specific. Since the preferences are 
>>> dependent
>>> on item attributes.
>>>
>>> How should I proceed? Since I have finished implementing the
>>> generic recommendation algorithm I can integrate this with ML with 
>>> a slight
>>> design change. Can we have a discussion on this?
>>>
>>
>> +1, let's discuss the issue in detail.
>>
>>>
>>> Thanks,
>>> Madawa
>>>
>>> [1] -
>>> https://drive.google.com/file/d/0B5EB-AEf-NyPOHBPRWpRM3hvejA/view?usp=sharing
>>> [2] -
>>> https://drive.google.com/file/d/0B5EB-AEf-NyPbkVUV2NqZ3R5b0U/view?usp=sharing
>>>
>>> On 16 June 2015 at 12:00, Madawa Soysa 
>>> wrote:
>>>
 Hi,

 I have developed an sample application to generate
 recommendations using Apache Spark MLlib and Java. Project source 
 code can
 be found in GitHub[1]
 . Output can
 be taken in any format and in the current app, I'm printing the 
 output to
 the console. The data set used can be found here[2]
 .
 Please look in to this and provide feedback.

 Next I'm going to modify the application to read data from
>>

Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Nirmal Fernando]

Hi Madawa,

Please check
https://github.com/thushv89/carbon-ml/commit/a76dfcfdbca157cc4ac4e175959c80ae72bd0d01

You need to update Jag files a bit.

On Thu, Jul 16, 2015 at 11:33 AM, Madawa Soysa 
wrote:

> Hi Nirmal,
>
> I added the details of the new algorithm to the machine-learner.xml. But
> the UI doesn't show the new algorithm to select when creating an analysis.
> What would be the reason? Any idea how to fix it?
>
> On 6 July 2015 at 12:17, Madawa Soysa  wrote:
>
>> Hi Nirmal,
>>
>> Thanks for the link. I will check it.
>>
>> On 6 July 2015 at 07:27, Nirmal Fernando  wrote:
>>
>>> Hi Madawa,
>>>
>>> Please check this presentation
>>> https://spark-summit.org/2015/events/a-more-scalable-way-of-making-recommendations-with-mllib/
>>>
>>> On Thu, Jul 2, 2015 at 9:22 AM, Nirmal Fernando  wrote:
>>>
 Thanks Madawa.

 On Wed, Jul 1, 2015 at 11:46 PM, Madawa Soysa 
 wrote:

> Hi Nirmal,
>
> I have done following work so far in the project.
>
>- Implemented the recommendation algorithm using java and spark. A
>sample source code is hosted at [1]
>
>
>- Researched on *inferring a rating through implicit feedback data*,
> collaborative filtering with implicit feedback data and using existing
>functions on spark to work with implicit data and recommending.
>After reading several papers and documents, I decided to use *weighted
>average of product page views and purchases* as the inferred
>observation as the preference value.
>
>- Started integrating the algorithms to carbon-ml. [2]
>
>
> [1] - https://github.com/madawas/spark-recommendation
> [2] - https://github.com/madawas/carbon-ml/tree/recommendation
>
>
> Regards,
> Madawa
>
> On 1 July 2015 at 22:25, Nirmal Fernando  wrote:
>
>> Hi Madawa,
>>
>> Please send the current status/work carried out of the project, that
>> will help us to set the future goals.
>>
>> On Fri, Jun 26, 2015 at 12:09 PM, Madawa Soysa <
>> madawa...@cse.mrt.ac.lk> wrote:
>>
>>> Sure, let's meet next week.
>>>
>>> On 25 June 2015 at 14:44, Srinath Perera  wrote:
>>>
 Madawa, sorry for being late to respond. Lets planning to meet on
 week of july 07 ( I am traveling). Meet Nirmal before if needed.

 --Srinath

 On Mon, Jun 22, 2015 at 9:26 AM, Madawa Soysa <
 madawa...@cse.mrt.ac.lk> wrote:

> I have lectures in Wednesday morning till 12.15. I'll be free
> after that.
>
> On 22 June 2015 at 09:24, Srinath Perera  wrote:
>
>> Can we meet Wednesday 10.30 at WSO2 Trace office?
>>
>> On Mon, Jun 22, 2015 at 9:10 AM, Nirmal Fernando > > wrote:
>>
>>>
>>>
>>> On Mon, Jun 22, 2015 at 9:07 AM, Madawa Soysa <
>>> madawa...@cse.mrt.ac.lk> wrote:
>>>
 Hi,

 In this week I have researched on collaborative filtering with
 implicit feedback data (i.e session data and user behavior). I have
 followed [1, 2] on this. Even though these papers provide a 
 solution we
 cannot use them since we cannot use the current implementation in 
 Spark
 with these.

 Also I researched on the possibility of inferring a rating
 using the session data and create a new data set and push to 
 spark, but
 almost all the solutions are domain specific. Since the 
 preferences are
 dependent on item attributes.

 How should I proceed? Since I have finished implementing the
 generic recommendation algorithm I can integrate this with ML with 
 a slight
 design change. Can we have a discussion on this?

>>>
>>> +1, let's discuss the issue in detail.
>>>

 Thanks,
 Madawa

 [1] -
 https://drive.google.com/file/d/0B5EB-AEf-NyPOHBPRWpRM3hvejA/view?usp=sharing
 [2] -
 https://drive.google.com/file/d/0B5EB-AEf-NyPbkVUV2NqZ3R5b0U/view?usp=sharing

 On 16 June 2015 at 12:00, Madawa Soysa >>> > wrote:

> Hi,
>
> I have developed an sample application to generate
> recommendations using Apache Spark MLlib and Java. Project source 
> code can
> be found in GitHub[1]
> . Output can
> be taken in any format and in the current app, I'm printing the 
> output to
>>>

Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Madawa Soysa]

Ok. Thanks Nirmal.

On 16 July 2015 at 11:42, Nirmal Fernando  wrote:

> Hi Madawa,
>
> Please check
> https://github.com/thushv89/carbon-ml/commit/a76dfcfdbca157cc4ac4e175959c80ae72bd0d01
>
> You need to update Jag files a bit.
>
> On Thu, Jul 16, 2015 at 11:33 AM, Madawa Soysa 
> wrote:
>
>> Hi Nirmal,
>>
>> I added the details of the new algorithm to the machine-learner.xml. But
>> the UI doesn't show the new algorithm to select when creating an analysis.
>> What would be the reason? Any idea how to fix it?
>>
>> On 6 July 2015 at 12:17, Madawa Soysa  wrote:
>>
>>> Hi Nirmal,
>>>
>>> Thanks for the link. I will check it.
>>>
>>> On 6 July 2015 at 07:27, Nirmal Fernando  wrote:
>>>
 Hi Madawa,

 Please check this presentation
 https://spark-summit.org/2015/events/a-more-scalable-way-of-making-recommendations-with-mllib/

 On Thu, Jul 2, 2015 at 9:22 AM, Nirmal Fernando 
 wrote:

> Thanks Madawa.
>
> On Wed, Jul 1, 2015 at 11:46 PM, Madawa Soysa  > wrote:
>
>> Hi Nirmal,
>>
>> I have done following work so far in the project.
>>
>>- Implemented the recommendation algorithm using java and spark.
>>A sample source code is hosted at [1]
>>
>>
>>- Researched on *inferring a rating through implicit feedback
>>data*,  collaborative filtering with implicit feedback data and
>>using existing functions on spark to work with implicit data and
>>recommending.
>>After reading several papers and documents, I decided to use *weighted
>>average of product page views and purchases* as the inferred
>>observation as the preference value.
>>
>>- Started integrating the algorithms to carbon-ml. [2]
>>
>>
>> [1] - https://github.com/madawas/spark-recommendation
>> [2] - https://github.com/madawas/carbon-ml/tree/recommendation
>>
>>
>> Regards,
>> Madawa
>>
>> On 1 July 2015 at 22:25, Nirmal Fernando  wrote:
>>
>>> Hi Madawa,
>>>
>>> Please send the current status/work carried out of the project, that
>>> will help us to set the future goals.
>>>
>>> On Fri, Jun 26, 2015 at 12:09 PM, Madawa Soysa <
>>> madawa...@cse.mrt.ac.lk> wrote:
>>>
 Sure, let's meet next week.

 On 25 June 2015 at 14:44, Srinath Perera  wrote:

> Madawa, sorry for being late to respond. Lets planning to meet on
> week of july 07 ( I am traveling). Meet Nirmal before if needed.
>
> --Srinath
>
> On Mon, Jun 22, 2015 at 9:26 AM, Madawa Soysa <
> madawa...@cse.mrt.ac.lk> wrote:
>
>> I have lectures in Wednesday morning till 12.15. I'll be free
>> after that.
>>
>> On 22 June 2015 at 09:24, Srinath Perera 
>> wrote:
>>
>>> Can we meet Wednesday 10.30 at WSO2 Trace office?
>>>
>>> On Mon, Jun 22, 2015 at 9:10 AM, Nirmal Fernando <
>>> nir...@wso2.com> wrote:
>>>


 On Mon, Jun 22, 2015 at 9:07 AM, Madawa Soysa <
 madawa...@cse.mrt.ac.lk> wrote:

> Hi,
>
> In this week I have researched on collaborative filtering with
> implicit feedback data (i.e session data and user behavior). I 
> have
> followed [1, 2] on this. Even though these papers provide a 
> solution we
> cannot use them since we cannot use the current implementation in 
> Spark
> with these.
>
> Also I researched on the possibility of inferring a rating
> using the session data and create a new data set and push to 
> spark, but
> almost all the solutions are domain specific. Since the 
> preferences are
> dependent on item attributes.
>
> How should I proceed? Since I have finished implementing the
> generic recommendation algorithm I can integrate this with ML 
> with a slight
> design change. Can we have a discussion on this?
>

 +1, let's discuss the issue in detail.

>
> Thanks,
> Madawa
>
> [1] -
> https://drive.google.com/file/d/0B5EB-AEf-NyPOHBPRWpRM3hvejA/view?usp=sharing
> [2] -
> https://drive.google.com/file/d/0B5EB-AEf-NyPbkVUV2NqZ3R5b0U/view?usp=sharing
>
> On 16 June 2015 at 12:00, Madawa Soysa <
> madawa...@cse.mrt.ac.lk> wrote:
>
>> Hi,
>>
>> I have developed an sample application to generate
>> recomme

Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Nirmal Fernando]

+Thushan

On Thu, Jul 16, 2015 at 11:42 AM, Nirmal Fernando  wrote:

> Hi Madawa,
>
> Please check
> https://github.com/thushv89/carbon-ml/commit/a76dfcfdbca157cc4ac4e175959c80ae72bd0d01
>
> You need to update Jag files a bit.
>
> On Thu, Jul 16, 2015 at 11:33 AM, Madawa Soysa 
> wrote:
>
>> Hi Nirmal,
>>
>> I added the details of the new algorithm to the machine-learner.xml. But
>> the UI doesn't show the new algorithm to select when creating an analysis.
>> What would be the reason? Any idea how to fix it?
>>
>> On 6 July 2015 at 12:17, Madawa Soysa  wrote:
>>
>>> Hi Nirmal,
>>>
>>> Thanks for the link. I will check it.
>>>
>>> On 6 July 2015 at 07:27, Nirmal Fernando  wrote:
>>>
 Hi Madawa,

 Please check this presentation
 https://spark-summit.org/2015/events/a-more-scalable-way-of-making-recommendations-with-mllib/

 On Thu, Jul 2, 2015 at 9:22 AM, Nirmal Fernando 
 wrote:

> Thanks Madawa.
>
> On Wed, Jul 1, 2015 at 11:46 PM, Madawa Soysa  > wrote:
>
>> Hi Nirmal,
>>
>> I have done following work so far in the project.
>>
>>- Implemented the recommendation algorithm using java and spark.
>>A sample source code is hosted at [1]
>>
>>
>>- Researched on *inferring a rating through implicit feedback
>>data*,  collaborative filtering with implicit feedback data and
>>using existing functions on spark to work with implicit data and
>>recommending.
>>After reading several papers and documents, I decided to use *weighted
>>average of product page views and purchases* as the inferred
>>observation as the preference value.
>>
>>- Started integrating the algorithms to carbon-ml. [2]
>>
>>
>> [1] - https://github.com/madawas/spark-recommendation
>> [2] - https://github.com/madawas/carbon-ml/tree/recommendation
>>
>>
>> Regards,
>> Madawa
>>
>> On 1 July 2015 at 22:25, Nirmal Fernando  wrote:
>>
>>> Hi Madawa,
>>>
>>> Please send the current status/work carried out of the project, that
>>> will help us to set the future goals.
>>>
>>> On Fri, Jun 26, 2015 at 12:09 PM, Madawa Soysa <
>>> madawa...@cse.mrt.ac.lk> wrote:
>>>
 Sure, let's meet next week.

 On 25 June 2015 at 14:44, Srinath Perera  wrote:

> Madawa, sorry for being late to respond. Lets planning to meet on
> week of july 07 ( I am traveling). Meet Nirmal before if needed.
>
> --Srinath
>
> On Mon, Jun 22, 2015 at 9:26 AM, Madawa Soysa <
> madawa...@cse.mrt.ac.lk> wrote:
>
>> I have lectures in Wednesday morning till 12.15. I'll be free
>> after that.
>>
>> On 22 June 2015 at 09:24, Srinath Perera 
>> wrote:
>>
>>> Can we meet Wednesday 10.30 at WSO2 Trace office?
>>>
>>> On Mon, Jun 22, 2015 at 9:10 AM, Nirmal Fernando <
>>> nir...@wso2.com> wrote:
>>>


 On Mon, Jun 22, 2015 at 9:07 AM, Madawa Soysa <
 madawa...@cse.mrt.ac.lk> wrote:

> Hi,
>
> In this week I have researched on collaborative filtering with
> implicit feedback data (i.e session data and user behavior). I 
> have
> followed [1, 2] on this. Even though these papers provide a 
> solution we
> cannot use them since we cannot use the current implementation in 
> Spark
> with these.
>
> Also I researched on the possibility of inferring a rating
> using the session data and create a new data set and push to 
> spark, but
> almost all the solutions are domain specific. Since the 
> preferences are
> dependent on item attributes.
>
> How should I proceed? Since I have finished implementing the
> generic recommendation algorithm I can integrate this with ML 
> with a slight
> design change. Can we have a discussion on this?
>

 +1, let's discuss the issue in detail.

>
> Thanks,
> Madawa
>
> [1] -
> https://drive.google.com/file/d/0B5EB-AEf-NyPOHBPRWpRM3hvejA/view?usp=sharing
> [2] -
> https://drive.google.com/file/d/0B5EB-AEf-NyPbkVUV2NqZ3R5b0U/view?usp=sharing
>
> On 16 June 2015 at 12:00, Madawa Soysa <
> madawa...@cse.mrt.ac.lk> wrote:
>
>> Hi,
>>
>> I have developed an sample application to generate
>> recommend

Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Thushan Ganegedara]

Hello Madawa,

In addition to what Nirmal said, please check if there any spelling
mistakes or case mismatches in the Algorithm Name/Algorithm Type

Thank you

On Thu, Jul 16, 2015 at 4:19 PM, Nirmal Fernando  wrote:

> +Thushan
>
> On Thu, Jul 16, 2015 at 11:42 AM, Nirmal Fernando  wrote:
>
>> Hi Madawa,
>>
>> Please check
>> https://github.com/thushv89/carbon-ml/commit/a76dfcfdbca157cc4ac4e175959c80ae72bd0d01
>>
>> You need to update Jag files a bit.
>>
>> On Thu, Jul 16, 2015 at 11:33 AM, Madawa Soysa 
>> wrote:
>>
>>> Hi Nirmal,
>>>
>>> I added the details of the new algorithm to the machine-learner.xml. But
>>> the UI doesn't show the new algorithm to select when creating an analysis.
>>> What would be the reason? Any idea how to fix it?
>>>
>>> On 6 July 2015 at 12:17, Madawa Soysa  wrote:
>>>
 Hi Nirmal,

 Thanks for the link. I will check it.

 On 6 July 2015 at 07:27, Nirmal Fernando  wrote:

> Hi Madawa,
>
> Please check this presentation
> https://spark-summit.org/2015/events/a-more-scalable-way-of-making-recommendations-with-mllib/
>
> On Thu, Jul 2, 2015 at 9:22 AM, Nirmal Fernando 
> wrote:
>
>> Thanks Madawa.
>>
>> On Wed, Jul 1, 2015 at 11:46 PM, Madawa Soysa <
>> madawa...@cse.mrt.ac.lk> wrote:
>>
>>> Hi Nirmal,
>>>
>>> I have done following work so far in the project.
>>>
>>>- Implemented the recommendation algorithm using java and spark.
>>>A sample source code is hosted at [1]
>>>
>>>
>>>- Researched on *inferring a rating through implicit feedback
>>>data*,  collaborative filtering with implicit feedback data and
>>>using existing functions on spark to work with implicit data and
>>>recommending.
>>>After reading several papers and documents, I decided to use 
>>> *weighted
>>>average of product page views and purchases* as the inferred
>>>observation as the preference value.
>>>
>>>- Started integrating the algorithms to carbon-ml. [2]
>>>
>>>
>>> [1] - https://github.com/madawas/spark-recommendation
>>> [2] - https://github.com/madawas/carbon-ml/tree/recommendation
>>>
>>>
>>> Regards,
>>> Madawa
>>>
>>> On 1 July 2015 at 22:25, Nirmal Fernando  wrote:
>>>
 Hi Madawa,

 Please send the current status/work carried out of the project,
 that will help us to set the future goals.

 On Fri, Jun 26, 2015 at 12:09 PM, Madawa Soysa <
 madawa...@cse.mrt.ac.lk> wrote:

> Sure, let's meet next week.
>
> On 25 June 2015 at 14:44, Srinath Perera  wrote:
>
>> Madawa, sorry for being late to respond. Lets planning to meet on
>> week of july 07 ( I am traveling). Meet Nirmal before if needed.
>>
>> --Srinath
>>
>> On Mon, Jun 22, 2015 at 9:26 AM, Madawa Soysa <
>> madawa...@cse.mrt.ac.lk> wrote:
>>
>>> I have lectures in Wednesday morning till 12.15. I'll be free
>>> after that.
>>>
>>> On 22 June 2015 at 09:24, Srinath Perera 
>>> wrote:
>>>
 Can we meet Wednesday 10.30 at WSO2 Trace office?

 On Mon, Jun 22, 2015 at 9:10 AM, Nirmal Fernando <
 nir...@wso2.com> wrote:

>
>
> On Mon, Jun 22, 2015 at 9:07 AM, Madawa Soysa <
> madawa...@cse.mrt.ac.lk> wrote:
>
>> Hi,
>>
>> In this week I have researched on collaborative filtering
>> with implicit feedback data (i.e session data and user 
>> behavior). I have
>> followed [1, 2] on this. Even though these papers provide a 
>> solution we
>> cannot use them since we cannot use the current implementation 
>> in Spark
>> with these.
>>
>> Also I researched on the possibility of inferring a rating
>> using the session data and create a new data set and push to 
>> spark, but
>> almost all the solutions are domain specific. Since the 
>> preferences are
>> dependent on item attributes.
>>
>> How should I proceed? Since I have finished implementing the
>> generic recommendation algorithm I can integrate this with ML 
>> with a slight
>> design change. Can we have a discussion on this?
>>
>
> +1, let's discuss the issue in detail.
>
>>
>> Thanks,
>> Madawa
>>
>> [1] -
>> https://drive.google.com/file/d/0B5EB-AEf-NyPOHBPRW

Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Nirmal Fernando]

Hi Madawa,

Could you please summarize the current status of the project and also the
things left to do?

On Thu, Jul 16, 2015 at 12:15 PM, Thushan Ganegedara 
wrote:

> Hello Madawa,
>
> In addition to what Nirmal said, please check if there any spelling
> mistakes or case mismatches in the Algorithm Name/Algorithm Type
>
> Thank you
>
> On Thu, Jul 16, 2015 at 4:19 PM, Nirmal Fernando  wrote:
>
>> +Thushan
>>
>> On Thu, Jul 16, 2015 at 11:42 AM, Nirmal Fernando 
>> wrote:
>>
>>> Hi Madawa,
>>>
>>> Please check
>>> https://github.com/thushv89/carbon-ml/commit/a76dfcfdbca157cc4ac4e175959c80ae72bd0d01
>>>
>>> You need to update Jag files a bit.
>>>
>>> On Thu, Jul 16, 2015 at 11:33 AM, Madawa Soysa 
>>> wrote:
>>>
 Hi Nirmal,

 I added the details of the new algorithm to the machine-learner.xml.
 But the UI doesn't show the new algorithm to select when creating an
 analysis. What would be the reason? Any idea how to fix it?

 On 6 July 2015 at 12:17, Madawa Soysa  wrote:

> Hi Nirmal,
>
> Thanks for the link. I will check it.
>
> On 6 July 2015 at 07:27, Nirmal Fernando  wrote:
>
>> Hi Madawa,
>>
>> Please check this presentation
>> https://spark-summit.org/2015/events/a-more-scalable-way-of-making-recommendations-with-mllib/
>>
>> On Thu, Jul 2, 2015 at 9:22 AM, Nirmal Fernando 
>> wrote:
>>
>>> Thanks Madawa.
>>>
>>> On Wed, Jul 1, 2015 at 11:46 PM, Madawa Soysa <
>>> madawa...@cse.mrt.ac.lk> wrote:
>>>
 Hi Nirmal,

 I have done following work so far in the project.

- Implemented the recommendation algorithm using java and
spark. A sample source code is hosted at [1]


- Researched on *inferring a rating through implicit feedback
data*,  collaborative filtering with implicit feedback data and
using existing functions on spark to work with implicit data and
recommending.
After reading several papers and documents, I decided to use 
 *weighted
average of product page views and purchases* as the inferred
observation as the preference value.

- Started integrating the algorithms to carbon-ml. [2]


 [1] - https://github.com/madawas/spark-recommendation
 [2] - https://github.com/madawas/carbon-ml/tree/recommendation


 Regards,
 Madawa

 On 1 July 2015 at 22:25, Nirmal Fernando  wrote:

> Hi Madawa,
>
> Please send the current status/work carried out of the project,
> that will help us to set the future goals.
>
> On Fri, Jun 26, 2015 at 12:09 PM, Madawa Soysa <
> madawa...@cse.mrt.ac.lk> wrote:
>
>> Sure, let's meet next week.
>>
>> On 25 June 2015 at 14:44, Srinath Perera 
>> wrote:
>>
>>> Madawa, sorry for being late to respond. Lets planning to meet
>>> on week of july 07 ( I am traveling). Meet Nirmal before if needed.
>>>
>>> --Srinath
>>>
>>> On Mon, Jun 22, 2015 at 9:26 AM, Madawa Soysa <
>>> madawa...@cse.mrt.ac.lk> wrote:
>>>
 I have lectures in Wednesday morning till 12.15. I'll be free
 after that.

 On 22 June 2015 at 09:24, Srinath Perera 
 wrote:

> Can we meet Wednesday 10.30 at WSO2 Trace office?
>
> On Mon, Jun 22, 2015 at 9:10 AM, Nirmal Fernando <
> nir...@wso2.com> wrote:
>
>>
>>
>> On Mon, Jun 22, 2015 at 9:07 AM, Madawa Soysa <
>> madawa...@cse.mrt.ac.lk> wrote:
>>
>>> Hi,
>>>
>>> In this week I have researched on collaborative filtering
>>> with implicit feedback data (i.e session data and user 
>>> behavior). I have
>>> followed [1, 2] on this. Even though these papers provide a 
>>> solution we
>>> cannot use them since we cannot use the current implementation 
>>> in Spark
>>> with these.
>>>
>>> Also I researched on the possibility of inferring a rating
>>> using the session data and create a new data set and push to 
>>> spark, but
>>> almost all the solutions are domain specific. Since the 
>>> preferences are
>>> dependent on item attributes.
>>>
>>> How should I proceed? Since I have finished implementing the
>>> generic recommendation algorithm I can integrate this with ML 
>>> with a slight

Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Madawa Soysa]

Hi,

Almost finished integrating the algorithm to the ML. I'm currently testing
and fixing some errors with it. I will give a full update in the evening.
Things left to do are we need a way to get recommendations through the REST
API and also the JavaScript client to extract data.

Thanks,
Madawa

On 22 July 2015 at 09:32, Nirmal Fernando  wrote:

> Hi Madawa,
>
> Could you please summarize the current status of the project and also the
> things left to do?
>
> On Thu, Jul 16, 2015 at 12:15 PM, Thushan Ganegedara 
> wrote:
>
>> Hello Madawa,
>>
>> In addition to what Nirmal said, please check if there any spelling
>> mistakes or case mismatches in the Algorithm Name/Algorithm Type
>>
>> Thank you
>>
>> On Thu, Jul 16, 2015 at 4:19 PM, Nirmal Fernando  wrote:
>>
>>> +Thushan
>>>
>>> On Thu, Jul 16, 2015 at 11:42 AM, Nirmal Fernando 
>>> wrote:
>>>
 Hi Madawa,

 Please check
 https://github.com/thushv89/carbon-ml/commit/a76dfcfdbca157cc4ac4e175959c80ae72bd0d01

 You need to update Jag files a bit.

 On Thu, Jul 16, 2015 at 11:33 AM, Madawa Soysa >>> > wrote:

> Hi Nirmal,
>
> I added the details of the new algorithm to the machine-learner.xml.
> But the UI doesn't show the new algorithm to select when creating an
> analysis. What would be the reason? Any idea how to fix it?
>
> On 6 July 2015 at 12:17, Madawa Soysa  wrote:
>
>> Hi Nirmal,
>>
>> Thanks for the link. I will check it.
>>
>> On 6 July 2015 at 07:27, Nirmal Fernando  wrote:
>>
>>> Hi Madawa,
>>>
>>> Please check this presentation
>>> https://spark-summit.org/2015/events/a-more-scalable-way-of-making-recommendations-with-mllib/
>>>
>>> On Thu, Jul 2, 2015 at 9:22 AM, Nirmal Fernando 
>>> wrote:
>>>
 Thanks Madawa.

 On Wed, Jul 1, 2015 at 11:46 PM, Madawa Soysa <
 madawa...@cse.mrt.ac.lk> wrote:

> Hi Nirmal,
>
> I have done following work so far in the project.
>
>- Implemented the recommendation algorithm using java and
>spark. A sample source code is hosted at [1]
>
>
>- Researched on *inferring a rating through implicit feedback
>data*,  collaborative filtering with implicit feedback data
>and using existing functions on spark to work with implicit data 
> and
>recommending.
>After reading several papers and documents, I decided to use 
> *weighted
>average of product page views and purchases* as the inferred
>observation as the preference value.
>
>- Started integrating the algorithms to carbon-ml. [2]
>
>
> [1] - https://github.com/madawas/spark-recommendation
> [2] - https://github.com/madawas/carbon-ml/tree/recommendation
>
>
> Regards,
> Madawa
>
> On 1 July 2015 at 22:25, Nirmal Fernando  wrote:
>
>> Hi Madawa,
>>
>> Please send the current status/work carried out of the project,
>> that will help us to set the future goals.
>>
>> On Fri, Jun 26, 2015 at 12:09 PM, Madawa Soysa <
>> madawa...@cse.mrt.ac.lk> wrote:
>>
>>> Sure, let's meet next week.
>>>
>>> On 25 June 2015 at 14:44, Srinath Perera 
>>> wrote:
>>>
 Madawa, sorry for being late to respond. Lets planning to meet
 on week of july 07 ( I am traveling). Meet Nirmal before if needed.

 --Srinath

 On Mon, Jun 22, 2015 at 9:26 AM, Madawa Soysa <
 madawa...@cse.mrt.ac.lk> wrote:

> I have lectures in Wednesday morning till 12.15. I'll be free
> after that.
>
> On 22 June 2015 at 09:24, Srinath Perera 
> wrote:
>
>> Can we meet Wednesday 10.30 at WSO2 Trace office?
>>
>> On Mon, Jun 22, 2015 at 9:10 AM, Nirmal Fernando <
>> nir...@wso2.com> wrote:
>>
>>>
>>>
>>> On Mon, Jun 22, 2015 at 9:07 AM, Madawa Soysa <
>>> madawa...@cse.mrt.ac.lk> wrote:
>>>
 Hi,

 In this week I have researched on collaborative filtering
 with implicit feedback data (i.e session data and user 
 behavior). I have
 followed [1, 2] on this. Even though these papers provide a 
 solution we
 cannot use them since we cannot use the current implementation 
 in Spark
 with these.

 Also I resear

Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Nirmal Fernando]

Ok, thanks for the update. Do you need any input from us for the remaining
tasks?

On Wed, Jul 22, 2015 at 10:06 AM, Madawa Soysa 
wrote:

> Hi,
>
> Almost finished integrating the algorithm to the ML. I'm currently testing
> and fixing some errors with it. I will give a full update in the evening.
> Things left to do are we need a way to get recommendations through the REST
> API and also the JavaScript client to extract data.
>
> Thanks,
> Madawa
>
> On 22 July 2015 at 09:32, Nirmal Fernando  wrote:
>
>> Hi Madawa,
>>
>> Could you please summarize the current status of the project and also the
>> things left to do?
>>
>> On Thu, Jul 16, 2015 at 12:15 PM, Thushan Ganegedara 
>> wrote:
>>
>>> Hello Madawa,
>>>
>>> In addition to what Nirmal said, please check if there any spelling
>>> mistakes or case mismatches in the Algorithm Name/Algorithm Type
>>>
>>> Thank you
>>>
>>> On Thu, Jul 16, 2015 at 4:19 PM, Nirmal Fernando 
>>> wrote:
>>>
 +Thushan

 On Thu, Jul 16, 2015 at 11:42 AM, Nirmal Fernando 
 wrote:

> Hi Madawa,
>
> Please check
> https://github.com/thushv89/carbon-ml/commit/a76dfcfdbca157cc4ac4e175959c80ae72bd0d01
>
> You need to update Jag files a bit.
>
> On Thu, Jul 16, 2015 at 11:33 AM, Madawa Soysa <
> madawa...@cse.mrt.ac.lk> wrote:
>
>> Hi Nirmal,
>>
>> I added the details of the new algorithm to the machine-learner.xml.
>> But the UI doesn't show the new algorithm to select when creating an
>> analysis. What would be the reason? Any idea how to fix it?
>>
>> On 6 July 2015 at 12:17, Madawa Soysa 
>> wrote:
>>
>>> Hi Nirmal,
>>>
>>> Thanks for the link. I will check it.
>>>
>>> On 6 July 2015 at 07:27, Nirmal Fernando  wrote:
>>>
 Hi Madawa,

 Please check this presentation
 https://spark-summit.org/2015/events/a-more-scalable-way-of-making-recommendations-with-mllib/

 On Thu, Jul 2, 2015 at 9:22 AM, Nirmal Fernando 
 wrote:

> Thanks Madawa.
>
> On Wed, Jul 1, 2015 at 11:46 PM, Madawa Soysa <
> madawa...@cse.mrt.ac.lk> wrote:
>
>> Hi Nirmal,
>>
>> I have done following work so far in the project.
>>
>>- Implemented the recommendation algorithm using java and
>>spark. A sample source code is hosted at [1]
>>
>>
>>- Researched on *inferring a rating through implicit feedback
>>data*,  collaborative filtering with implicit feedback data
>>and using existing functions on spark to work with implicit data 
>> and
>>recommending.
>>After reading several papers and documents, I decided to use 
>> *weighted
>>average of product page views and purchases* as the inferred
>>observation as the preference value.
>>
>>- Started integrating the algorithms to carbon-ml. [2]
>>
>>
>> [1] - https://github.com/madawas/spark-recommendation
>> [2] - https://github.com/madawas/carbon-ml/tree/recommendation
>>
>>
>> Regards,
>> Madawa
>>
>> On 1 July 2015 at 22:25, Nirmal Fernando  wrote:
>>
>>> Hi Madawa,
>>>
>>> Please send the current status/work carried out of the project,
>>> that will help us to set the future goals.
>>>
>>> On Fri, Jun 26, 2015 at 12:09 PM, Madawa Soysa <
>>> madawa...@cse.mrt.ac.lk> wrote:
>>>
 Sure, let's meet next week.

 On 25 June 2015 at 14:44, Srinath Perera 
 wrote:

> Madawa, sorry for being late to respond. Lets planning to meet
> on week of july 07 ( I am traveling). Meet Nirmal before if 
> needed.
>
> --Srinath
>
> On Mon, Jun 22, 2015 at 9:26 AM, Madawa Soysa <
> madawa...@cse.mrt.ac.lk> wrote:
>
>> I have lectures in Wednesday morning till 12.15. I'll be free
>> after that.
>>
>> On 22 June 2015 at 09:24, Srinath Perera 
>> wrote:
>>
>>> Can we meet Wednesday 10.30 at WSO2 Trace office?
>>>
>>> On Mon, Jun 22, 2015 at 9:10 AM, Nirmal Fernando <
>>> nir...@wso2.com> wrote:
>>>


 On Mon, Jun 22, 2015 at 9:07 AM, Madawa Soysa <
 madawa...@cse.mrt.ac.lk> wrote:

> Hi,
>
> In this week I have researched on collaborative filtering
> with implicit feedback data (i.e session

Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Madawa Soysa]

Hi Nirmal,

Sorry for the late reply.

I have successfully integrated the Recommendation Algorithm to ML for data
sets with explicit Rating. Currently I am implementing the feature for data
sets with implicit feedback data.

Is it possible to have a code review next week? Then I could demonstrate
what I did and also discuss further modification and the JavaScript client.

Thanks,
Madawa

On 22 July 2015 at 10:10, Nirmal Fernando  wrote:

> Ok, thanks for the update. Do you need any input from us for the remaining
> tasks?
>
> On Wed, Jul 22, 2015 at 10:06 AM, Madawa Soysa 
> wrote:
>
>> Hi,
>>
>> Almost finished integrating the algorithm to the ML. I'm currently
>> testing and fixing some errors with it. I will give a full update in the
>> evening. Things left to do are we need a way to get recommendations through
>> the REST API and also the JavaScript client to extract data.
>>
>> Thanks,
>> Madawa
>>
>> On 22 July 2015 at 09:32, Nirmal Fernando  wrote:
>>
>>> Hi Madawa,
>>>
>>> Could you please summarize the current status of the project and also
>>> the things left to do?
>>>
>>> On Thu, Jul 16, 2015 at 12:15 PM, Thushan Ganegedara 
>>> wrote:
>>>
 Hello Madawa,

 In addition to what Nirmal said, please check if there any spelling
 mistakes or case mismatches in the Algorithm Name/Algorithm Type

 Thank you

 On Thu, Jul 16, 2015 at 4:19 PM, Nirmal Fernando 
 wrote:

> +Thushan
>
> On Thu, Jul 16, 2015 at 11:42 AM, Nirmal Fernando 
> wrote:
>
>> Hi Madawa,
>>
>> Please check
>> https://github.com/thushv89/carbon-ml/commit/a76dfcfdbca157cc4ac4e175959c80ae72bd0d01
>>
>> You need to update Jag files a bit.
>>
>> On Thu, Jul 16, 2015 at 11:33 AM, Madawa Soysa <
>> madawa...@cse.mrt.ac.lk> wrote:
>>
>>> Hi Nirmal,
>>>
>>> I added the details of the new algorithm to the machine-learner.xml.
>>> But the UI doesn't show the new algorithm to select when creating an
>>> analysis. What would be the reason? Any idea how to fix it?
>>>
>>> On 6 July 2015 at 12:17, Madawa Soysa 
>>> wrote:
>>>
 Hi Nirmal,

 Thanks for the link. I will check it.

 On 6 July 2015 at 07:27, Nirmal Fernando  wrote:

> Hi Madawa,
>
> Please check this presentation
> https://spark-summit.org/2015/events/a-more-scalable-way-of-making-recommendations-with-mllib/
>
> On Thu, Jul 2, 2015 at 9:22 AM, Nirmal Fernando 
> wrote:
>
>> Thanks Madawa.
>>
>> On Wed, Jul 1, 2015 at 11:46 PM, Madawa Soysa <
>> madawa...@cse.mrt.ac.lk> wrote:
>>
>>> Hi Nirmal,
>>>
>>> I have done following work so far in the project.
>>>
>>>- Implemented the recommendation algorithm using java and
>>>spark. A sample source code is hosted at [1]
>>>
>>>
>>>- Researched on *inferring a rating through implicit
>>>feedback data*,  collaborative filtering with implicit
>>>feedback data and using existing functions on spark to work with 
>>> implicit
>>>data and recommending.
>>>After reading several papers and documents, I decided to use 
>>> *weighted
>>>average of product page views and purchases* as the inferred
>>>observation as the preference value.
>>>
>>>- Started integrating the algorithms to carbon-ml. [2]
>>>
>>>
>>> [1] - https://github.com/madawas/spark-recommendation
>>> [2] - https://github.com/madawas/carbon-ml/tree/recommendation
>>>
>>>
>>> Regards,
>>> Madawa
>>>
>>> On 1 July 2015 at 22:25, Nirmal Fernando 
>>> wrote:
>>>
 Hi Madawa,

 Please send the current status/work carried out of the project,
 that will help us to set the future goals.

 On Fri, Jun 26, 2015 at 12:09 PM, Madawa Soysa <
 madawa...@cse.mrt.ac.lk> wrote:

> Sure, let's meet next week.
>
> On 25 June 2015 at 14:44, Srinath Perera 
> wrote:
>
>> Madawa, sorry for being late to respond. Lets planning to
>> meet on week of july 07 ( I am traveling). Meet Nirmal before if 
>> needed.
>>
>> --Srinath
>>
>> On Mon, Jun 22, 2015 at 9:26 AM, Madawa Soysa <
>> madawa...@cse.mrt.ac.lk> wrote:
>>
>>> I have lectures in Wednesday morning till 12.15. I'll be
>>> free after that.
>>>
>>> On 22 June 2015 at 09:24, Srin

Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Nirmal Fernando]

Sure. Please let us know few time slots. Let's take it off the list.

On Thu, Jul 23, 2015 at 9:27 AM, Madawa Soysa 
wrote:

> Hi Nirmal,
>
> Sorry for the late reply.
>
> I have successfully integrated the Recommendation Algorithm to ML for data
> sets with explicit Rating. Currently I am implementing the feature for data
> sets with implicit feedback data.
>
> Is it possible to have a code review next week? Then I could demonstrate
> what I did and also discuss further modification and the JavaScript client.
>
> Thanks,
> Madawa
>
> On 22 July 2015 at 10:10, Nirmal Fernando  wrote:
>
>> Ok, thanks for the update. Do you need any input from us for the
>> remaining tasks?
>>
>> On Wed, Jul 22, 2015 at 10:06 AM, Madawa Soysa 
>> wrote:
>>
>>> Hi,
>>>
>>> Almost finished integrating the algorithm to the ML. I'm currently
>>> testing and fixing some errors with it. I will give a full update in the
>>> evening. Things left to do are we need a way to get recommendations through
>>> the REST API and also the JavaScript client to extract data.
>>>
>>> Thanks,
>>> Madawa
>>>
>>> On 22 July 2015 at 09:32, Nirmal Fernando  wrote:
>>>
 Hi Madawa,

 Could you please summarize the current status of the project and also
 the things left to do?

 On Thu, Jul 16, 2015 at 12:15 PM, Thushan Ganegedara 
 wrote:

> Hello Madawa,
>
> In addition to what Nirmal said, please check if there any spelling
> mistakes or case mismatches in the Algorithm Name/Algorithm Type
>
> Thank you
>
> On Thu, Jul 16, 2015 at 4:19 PM, Nirmal Fernando 
> wrote:
>
>> +Thushan
>>
>> On Thu, Jul 16, 2015 at 11:42 AM, Nirmal Fernando 
>> wrote:
>>
>>> Hi Madawa,
>>>
>>> Please check
>>> https://github.com/thushv89/carbon-ml/commit/a76dfcfdbca157cc4ac4e175959c80ae72bd0d01
>>>
>>> You need to update Jag files a bit.
>>>
>>> On Thu, Jul 16, 2015 at 11:33 AM, Madawa Soysa <
>>> madawa...@cse.mrt.ac.lk> wrote:
>>>
 Hi Nirmal,

 I added the details of the new algorithm to the
 machine-learner.xml. But the UI doesn't show the new algorithm to 
 select
 when creating an analysis. What would be the reason? Any idea how to 
 fix it?

 On 6 July 2015 at 12:17, Madawa Soysa 
 wrote:

> Hi Nirmal,
>
> Thanks for the link. I will check it.
>
> On 6 July 2015 at 07:27, Nirmal Fernando  wrote:
>
>> Hi Madawa,
>>
>> Please check this presentation
>> https://spark-summit.org/2015/events/a-more-scalable-way-of-making-recommendations-with-mllib/
>>
>> On Thu, Jul 2, 2015 at 9:22 AM, Nirmal Fernando 
>> wrote:
>>
>>> Thanks Madawa.
>>>
>>> On Wed, Jul 1, 2015 at 11:46 PM, Madawa Soysa <
>>> madawa...@cse.mrt.ac.lk> wrote:
>>>
 Hi Nirmal,

 I have done following work so far in the project.

- Implemented the recommendation algorithm using java and
spark. A sample source code is hosted at [1]


- Researched on *inferring a rating through implicit
feedback data*,  collaborative filtering with implicit
feedback data and using existing functions on spark to work 
 with implicit
data and recommending.
After reading several papers and documents, I decided to
use *weighted average of product page views and purchases*
as the inferred observation as the preference value.

- Started integrating the algorithms to carbon-ml. [2]


 [1] - https://github.com/madawas/spark-recommendation
 [2] - https://github.com/madawas/carbon-ml/tree/recommendation


 Regards,
 Madawa

 On 1 July 2015 at 22:25, Nirmal Fernando 
 wrote:

> Hi Madawa,
>
> Please send the current status/work carried out of the
> project, that will help us to set the future goals.
>
> On Fri, Jun 26, 2015 at 12:09 PM, Madawa Soysa <
> madawa...@cse.mrt.ac.lk> wrote:
>
>> Sure, let's meet next week.
>>
>> On 25 June 2015 at 14:44, Srinath Perera 
>> wrote:
>>
>>> Madawa, sorry for being late to respond. Lets planning to
>>> meet on week of july 07 ( I am traveling). Meet Nirmal before 
>>> if needed.
>>>
>>> --Srinath
>>>
>>>

Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Madawa Soysa]

I'm free on Tuesday and Wednesday after 12 noon.

On 23 July 2015 at 11:30, Nirmal Fernando  wrote:

> Sure. Please let us know few time slots. Let's take it off the list.
>
> On Thu, Jul 23, 2015 at 9:27 AM, Madawa Soysa 
> wrote:
>
>> Hi Nirmal,
>>
>> Sorry for the late reply.
>>
>> I have successfully integrated the Recommendation Algorithm to ML for
>> data sets with explicit Rating. Currently I am implementing the feature for
>> data sets with implicit feedback data.
>>
>> Is it possible to have a code review next week? Then I could demonstrate
>> what I did and also discuss further modification and the JavaScript client.
>>
>> Thanks,
>> Madawa
>>
>> On 22 July 2015 at 10:10, Nirmal Fernando  wrote:
>>
>>> Ok, thanks for the update. Do you need any input from us for the
>>> remaining tasks?
>>>
>>> On Wed, Jul 22, 2015 at 10:06 AM, Madawa Soysa 
>>> wrote:
>>>
 Hi,

 Almost finished integrating the algorithm to the ML. I'm currently
 testing and fixing some errors with it. I will give a full update in the
 evening. Things left to do are we need a way to get recommendations through
 the REST API and also the JavaScript client to extract data.

 Thanks,
 Madawa

 On 22 July 2015 at 09:32, Nirmal Fernando  wrote:

> Hi Madawa,
>
> Could you please summarize the current status of the project and also
> the things left to do?
>
> On Thu, Jul 16, 2015 at 12:15 PM, Thushan Ganegedara  > wrote:
>
>> Hello Madawa,
>>
>> In addition to what Nirmal said, please check if there any spelling
>> mistakes or case mismatches in the Algorithm Name/Algorithm Type
>>
>> Thank you
>>
>> On Thu, Jul 16, 2015 at 4:19 PM, Nirmal Fernando 
>> wrote:
>>
>>> +Thushan
>>>
>>> On Thu, Jul 16, 2015 at 11:42 AM, Nirmal Fernando 
>>> wrote:
>>>
 Hi Madawa,

 Please check
 https://github.com/thushv89/carbon-ml/commit/a76dfcfdbca157cc4ac4e175959c80ae72bd0d01

 You need to update Jag files a bit.

 On Thu, Jul 16, 2015 at 11:33 AM, Madawa Soysa <
 madawa...@cse.mrt.ac.lk> wrote:

> Hi Nirmal,
>
> I added the details of the new algorithm to the
> machine-learner.xml. But the UI doesn't show the new algorithm to 
> select
> when creating an analysis. What would be the reason? Any idea how to 
> fix it?
>
> On 6 July 2015 at 12:17, Madawa Soysa 
> wrote:
>
>> Hi Nirmal,
>>
>> Thanks for the link. I will check it.
>>
>> On 6 July 2015 at 07:27, Nirmal Fernando  wrote:
>>
>>> Hi Madawa,
>>>
>>> Please check this presentation
>>> https://spark-summit.org/2015/events/a-more-scalable-way-of-making-recommendations-with-mllib/
>>>
>>> On Thu, Jul 2, 2015 at 9:22 AM, Nirmal Fernando >> > wrote:
>>>
 Thanks Madawa.

 On Wed, Jul 1, 2015 at 11:46 PM, Madawa Soysa <
 madawa...@cse.mrt.ac.lk> wrote:

> Hi Nirmal,
>
> I have done following work so far in the project.
>
>- Implemented the recommendation algorithm using java and
>spark. A sample source code is hosted at [1]
>
>
>- Researched on *inferring a rating through implicit
>feedback data*,  collaborative filtering with implicit
>feedback data and using existing functions on spark to work 
> with implicit
>data and recommending.
>After reading several papers and documents, I decided to
>use *weighted average of product page views and purchases*
>as the inferred observation as the preference value.
>
>- Started integrating the algorithms to carbon-ml. [2]
>
>
> [1] - https://github.com/madawas/spark-recommendation
> [2] - https://github.com/madawas/carbon-ml/tree/recommendation
>
>
> Regards,
> Madawa
>
> On 1 July 2015 at 22:25, Nirmal Fernando 
> wrote:
>
>> Hi Madawa,
>>
>> Please send the current status/work carried out of the
>> project, that will help us to set the future goals.
>>
>> On Fri, Jun 26, 2015 at 12:09 PM, Madawa Soysa <
>> madawa...@cse.mrt.ac.lk> wrote:
>>
>>> Sure, let's meet next week.
>>>
>>> On 25 June 2015 at 14:44, Srinath Perera 
>>> wrote:

Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Srinath Perera]

Can we meet 2.30 @ TRACE?

On Tue, Mar 3, 2015 at 9:31 AM, Madawa Soysa  wrote:

> Hi,
>
> I'm Madawa Soysa, an undergraduate at Department of Computer Science and
> Engineering, University of Moratuwa. Currently I'm an intern at WSO2 Inc. I
> went through the proposal[1]
> 
>  and
> interested in contributing to the project.
>
> I't would be great if i could further discuss about the above project.
>
> [1]
> - 
> https://docs.wso2.com/display/GSoC/Project+Proposals+for+2015#ProjectProposalsfor2015-Proposal11:RecommendationSolutionforWSO2MachineLearner
> 
>
> --
> Madawa Soysa
> Software Engineering Intern | WS*O₂* Inc. 
>
> Mobile: +94 75 812 0726 | Email: mada...@wso2.com
> LinkedIn  | Twitter
>  | Tumblr 
>



-- 

Blog: http://srinathsview.blogspot.com twitter:@srinath_perera
Site: http://people.apache.org/~hemapani/
Photos: http://www.flickr.com/photos/hemapani/
Phone: 0772360902
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Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Nirmal Fernando]

+1

On Tue, Mar 3, 2015 at 9:34 AM, Srinath Perera  wrote:

> Can we meet 2.30 @ TRACE?
>
> On Tue, Mar 3, 2015 at 9:31 AM, Madawa Soysa  wrote:
>
>> Hi,
>>
>> I'm Madawa Soysa, an undergraduate at Department of Computer Science and
>> Engineering, University of Moratuwa. Currently I'm an intern at WSO2 Inc. I
>> went through the proposal[1]
>> 
>>  and
>> interested in contributing to the project.
>>
>> I't would be great if i could further discuss about the above project.
>>
>> [1]
>> - 
>> https://docs.wso2.com/display/GSoC/Project+Proposals+for+2015#ProjectProposalsfor2015-Proposal11:RecommendationSolutionforWSO2MachineLearner
>> 
>>
>> --
>> Madawa Soysa
>> Software Engineering Intern | WS*O₂* Inc. 
>>
>> Mobile: +94 75 812 0726 | Email: mada...@wso2.com
>> LinkedIn  | Twitter
>>  | Tumblr 
>>
>
>
>
> --
> 
> Blog: http://srinathsview.blogspot.com twitter:@srinath_perera
> Site: http://people.apache.org/~hemapani/
> Photos: http://www.flickr.com/photos/hemapani/
> Phone: 0772360902
>



-- 

Thanks & regards,
Nirmal

Senior Software Engineer- Platform Technologies Team, WSO2 Inc.
Mobile: +94715779733
Blog: http://nirmalfdo.blogspot.com/
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Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Nirmal Fernando]

Hi Manil,

Thanks for your interest on the project. Do you have any specific questions
that we could answer?

PS: I'll share a slide deck done by Srinath on WSO2 Machine Learner, with
you.

On Wed, Mar 4, 2015 at 5:58 PM,  wrote:

> Hi All,
>
> My name is Manil Liyanage. I'm currently following a Masters in the field
> of Information Technology at University of Colombo School of Computing.
>
> I'm interested in doing $subject. i have previously contributed or done
> projects such as WSO2 ESB connectors for soundcloud and yammer. I'm really
> interested in doing projects related to web services. Im familiar with
> JAX-RS mostly.  please let me how can I can contribute more towards [1].
>
> Thank you,
> Manil Liyanage
>
>
> [1]
> https://docs.wso2.com/plugins/servlet/mobile#ProjectProposalsfor2015-Proposal11:RecommendationSolutionforWSO2MachineLearner
>
>
> ___
> Dev mailing list
> Dev@wso2.org
> http://wso2.org/cgi-bin/mailman/listinfo/dev
>
>


-- 

Thanks & regards,
Nirmal

Senior Software Engineer- Platform Technologies Team, WSO2 Inc.
Mobile: +94715779733
Blog: http://nirmalfdo.blogspot.com/
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Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[liyanagemanil]

Hi Nirmal,

Thank you for looking into my request. I basically took a look at the proposal. 
If we take it simply, its an extension that can be added to website that would 
capture trends and hits and recommend it with other items  to any other 
context. Apart from that i do not have any major questions at the moment. 
Meanwhile I will do a in depth analysis on it. 

Thank you,
Manil Liyanage 

> On 2015 මාර්තු 4, at ප.ව. 6.05, Nirmal Fernando  wrote:
> 
> Hi Manil,
> 
> Thanks for your interest on the project. Do you have any specific questions 
> that we could answer? 
> 
> PS: I'll share a slide deck done by Srinath on WSO2 Machine Learner, with you.
> 
>> On Wed, Mar 4, 2015 at 5:58 PM,  wrote:
>> Hi All,
>> 
>> My name is Manil Liyanage. I'm currently following a Masters in the field of 
>> Information Technology at University of Colombo School of Computing. 
>> 
>> I'm interested in doing $subject. i have previously contributed or done 
>> projects such as WSO2 ESB connectors for soundcloud and yammer. I'm really 
>> interested in doing projects related to web services. Im familiar with 
>> JAX-RS mostly.  please let me how can I can contribute more towards [1].
>> 
>> Thank you,
>> Manil Liyanage 
>> 
>> 
>> [1] 
>> https://docs.wso2.com/plugins/servlet/mobile#ProjectProposalsfor2015-Proposal11:RecommendationSolutionforWSO2MachineLearner
>> 
>> 
>> ___
>> Dev mailing list
>> Dev@wso2.org
>> http://wso2.org/cgi-bin/mailman/listinfo/dev
> 
> 
> 
> -- 
> 
> Thanks & regards,
> Nirmal
> 
> Senior Software Engineer- Platform Technologies Team, WSO2 Inc.
> Mobile: +94715779733
> Blog: http://nirmalfdo.blogspot.com/
> 
> 
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Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Nirmal Fernando]

Yes, and for the recommendation part, you should use ML. In WSO2 ML, we
currently do not have the support for recommendation algorithms. We use
Apache Spark's MLLib's algorithm implementations. First step would be to
research into the recommendation algorithms of MLLib and play with those
and understand the nature of those algorithms.

Do not hesitate to ask any questions you may run into.

Good luck!

On Wed, Mar 4, 2015 at 6:14 PM,  wrote:

> Hi Nirmal,
>
> Thank you for looking into my request. I basically took a look at the
> proposal. If we take it simply, its an extension that can be added to
> website that would capture trends and hits and recommend it with other
> items  to any other context. Apart from that i do not have any major
> questions at the moment. Meanwhile I will do a in depth analysis on it.
>
> Thank you,
> Manil Liyanage
>
> On 2015 මාර්තු 4, at ප.ව. 6.05, Nirmal Fernando  wrote:
>
> Hi Manil,
>
> Thanks for your interest on the project. Do you have any specific
> questions that we could answer?
>
> PS: I'll share a slide deck done by Srinath on WSO2 Machine Learner, with
> you.
>
> On Wed, Mar 4, 2015 at 5:58 PM,  wrote:
>
>> Hi All,
>>
>> My name is Manil Liyanage. I'm currently following a Masters in the field
>> of Information Technology at University of Colombo School of Computing.
>>
>> I'm interested in doing $subject. i have previously contributed or done
>> projects such as WSO2 ESB connectors for soundcloud and yammer. I'm really
>> interested in doing projects related to web services. Im familiar with
>> JAX-RS mostly.  please let me how can I can contribute more towards [1].
>>
>> Thank you,
>> Manil Liyanage
>>
>>
>> [1]
>> https://docs.wso2.com/plugins/servlet/mobile#ProjectProposalsfor2015-Proposal11:RecommendationSolutionforWSO2MachineLearner
>>
>>
>> ___
>> Dev mailing list
>> Dev@wso2.org
>> http://wso2.org/cgi-bin/mailman/listinfo/dev
>>
>>
>
>
> --
>
> Thanks & regards,
> Nirmal
>
> Senior Software Engineer- Platform Technologies Team, WSO2 Inc.
> Mobile: +94715779733
> Blog: http://nirmalfdo.blogspot.com/
>
>
>


-- 

Thanks & regards,
Nirmal

Senior Software Engineer- Platform Technologies Team, WSO2 Inc.
Mobile: +94715779733
Blog: http://nirmalfdo.blogspot.com/
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Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Manil Liyanage]

Hi Nirmal,

Sure, I'll look in those algorithms as my first step and try working out
functionality of ML. Thanks again.

Regards,
Manil Liyanage

On Wed, Mar 4, 2015 at 7:07 PM, Nirmal Fernando  wrote:

> Yes, and for the recommendation part, you should use ML. In WSO2 ML, we
> currently do not have the support for recommendation algorithms. We use
> Apache Spark's MLLib's algorithm implementations. First step would be to
> research into the recommendation algorithms of MLLib and play with those
> and understand the nature of those algorithms.
>
> Do not hesitate to ask any questions you may run into.
>
> Good luck!
>
> On Wed, Mar 4, 2015 at 6:14 PM,  wrote:
>
>> Hi Nirmal,
>>
>> Thank you for looking into my request. I basically took a look at the
>> proposal. If we take it simply, its an extension that can be added to
>> website that would capture trends and hits and recommend it with other
>> items  to any other context. Apart from that i do not have any major
>> questions at the moment. Meanwhile I will do a in depth analysis on it.
>>
>> Thank you,
>> Manil Liyanage
>>
>> On 2015 මාර්තු 4, at ප.ව. 6.05, Nirmal Fernando  wrote:
>>
>> Hi Manil,
>>
>> Thanks for your interest on the project. Do you have any specific
>> questions that we could answer?
>>
>> PS: I'll share a slide deck done by Srinath on WSO2 Machine Learner, with
>> you.
>>
>> On Wed, Mar 4, 2015 at 5:58 PM,  wrote:
>>
>>> Hi All,
>>>
>>> My name is Manil Liyanage. I'm currently following a Masters in the
>>> field of Information Technology at University of Colombo School of
>>> Computing.
>>>
>>> I'm interested in doing $subject. i have previously contributed or done
>>> projects such as WSO2 ESB connectors for soundcloud and yammer. I'm really
>>> interested in doing projects related to web services. Im familiar with
>>> JAX-RS mostly.  please let me how can I can contribute more towards [1].
>>>
>>> Thank you,
>>> Manil Liyanage
>>>
>>>
>>> [1]
>>> https://docs.wso2.com/plugins/servlet/mobile#ProjectProposalsfor2015-Proposal11:RecommendationSolutionforWSO2MachineLearner
>>>
>>>
>>> ___
>>> Dev mailing list
>>> Dev@wso2.org
>>> http://wso2.org/cgi-bin/mailman/listinfo/dev
>>>
>>>
>>
>>
>> --
>>
>> Thanks & regards,
>> Nirmal
>>
>> Senior Software Engineer- Platform Technologies Team, WSO2 Inc.
>> Mobile: +94715779733
>> Blog: http://nirmalfdo.blogspot.com/
>>
>>
>>
>
>
> --
>
> Thanks & regards,
> Nirmal
>
> Senior Software Engineer- Platform Technologies Team, WSO2 Inc.
> Mobile: +94715779733
> Blog: http://nirmalfdo.blogspot.com/
>
>
>
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Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Madawa Soysa]

Hi,

I have done my research about Spark and available technologies to implement
the e-commerce tracking client. I'm currently preparing the project
proposal and is there any documentation I could read about WSO2 ML?

Also when the tracking client POST the details to the REST API, are those
information goes to ML through CEP as events?

Regards,
Madawa.

On 3 March 2015 at 09:37, Nirmal Fernando  wrote:

> +1
>
> On Tue, Mar 3, 2015 at 9:34 AM, Srinath Perera  wrote:
>
>> Can we meet 2.30 @ TRACE?
>>
>> On Tue, Mar 3, 2015 at 9:31 AM, Madawa Soysa  wrote:
>>
>>> Hi,
>>>
>>> I'm Madawa Soysa, an undergraduate at Department of Computer Science and
>>> Engineering, University of Moratuwa. Currently I'm an intern at WSO2 Inc. I
>>> went through the proposal[1]
>>> 
>>>  and
>>> interested in contributing to the project.
>>>
>>> I't would be great if i could further discuss about the above project.
>>>
>>> [1]
>>> - 
>>> https://docs.wso2.com/display/GSoC/Project+Proposals+for+2015#ProjectProposalsfor2015-Proposal11:RecommendationSolutionforWSO2MachineLearner
>>> 
>>>
>>> --
>>> Madawa Soysa
>>> Software Engineering Intern | WS*O₂* Inc. 
>>>
>>> Mobile: +94 75 812 0726 | Email: mada...@wso2.com
>>> LinkedIn  | Twitter
>>>  | Tumblr 
>>>
>>
>>
>>
>> --
>> 
>> Blog: http://srinathsview.blogspot.com twitter:@srinath_perera
>> Site: http://people.apache.org/~hemapani/
>> Photos: http://www.flickr.com/photos/hemapani/
>> Phone: 0772360902
>>
>
>
>
> --
>
> Thanks & regards,
> Nirmal
>
> Senior Software Engineer- Platform Technologies Team, WSO2 Inc.
> Mobile: +94715779733
> Blog: http://nirmalfdo.blogspot.com/
>
>
>


-- 
Madawa Soysa
Software Engineering Intern | WS*O₂* Inc. 

Mobile: +94 75 812 0726 | Email: mada...@wso2.com
LinkedIn  | Twitter
 | Tumblr 
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Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Madawa Soysa]

Hi,

Attached the initial draft proposal[1]

and milestone plan[2]
.
It would be great if i could get a feedback on this.

[1] -
https://docs.google.com/a/wso2.com/document/d/1Hb16-07ClxBH3Pvhna4lRASUoRGqvkgnmPLn9YF1rcY/edit?usp=sharing
[2] -
https://docs.google.com/a/wso2.com/spreadsheets/d/1BMGX3-Ub5rqcFKbIYCxutKKBP4r_1rl02OZUOb5SYeA/edit?usp=sharing

Thanks,
Madawa.

On 18 March 2015 at 09:02, Madawa Soysa  wrote:

> Hi,
>
> I have done my research about Spark and available technologies to
> implement the e-commerce tracking client. I'm currently preparing the
> project proposal and is there any documentation I could read about WSO2 ML?
>
> Also when the tracking client POST the details to the REST API, are those
> information goes to ML through CEP as events?
>
> Regards,
> Madawa.
>
> On 3 March 2015 at 09:37, Nirmal Fernando  wrote:
>
>> +1
>>
>> On Tue, Mar 3, 2015 at 9:34 AM, Srinath Perera  wrote:
>>
>>> Can we meet 2.30 @ TRACE?
>>>
>>> On Tue, Mar 3, 2015 at 9:31 AM, Madawa Soysa  wrote:
>>>
 Hi,

 I'm Madawa Soysa, an undergraduate at Department of Computer Science
 and Engineering, University of Moratuwa. Currently I'm an intern at WSO2
 Inc. I went through the proposal[1]
 
  and
 interested in contributing to the project.

 I't would be great if i could further discuss about the above project.

 [1]
 - 
 https://docs.wso2.com/display/GSoC/Project+Proposals+for+2015#ProjectProposalsfor2015-Proposal11:RecommendationSolutionforWSO2MachineLearner
 

 --
 Madawa Soysa
 Software Engineering Intern | WS*O₂* Inc. 

 Mobile: +94 75 812 0726 | Email: mada...@wso2.com
 LinkedIn  | Twitter
  | Tumblr 

>>>
>>>
>>>
>>> --
>>> 
>>> Blog: http://srinathsview.blogspot.com twitter:@srinath_perera
>>> Site: http://people.apache.org/~hemapani/
>>> Photos: http://www.flickr.com/photos/hemapani/
>>> Phone: 0772360902
>>>
>>
>>
>>
>> --
>>
>> Thanks & regards,
>> Nirmal
>>
>> Senior Software Engineer- Platform Technologies Team, WSO2 Inc.
>> Mobile: +94715779733
>> Blog: http://nirmalfdo.blogspot.com/
>>
>>
>>
>
>
> --
> Madawa Soysa
> Software Engineering Intern | WS*O₂* Inc. 
>
> Mobile: +94 75 812 0726 | Email: mada...@wso2.com
> LinkedIn  | Twitter
>  | Tumblr 
>



-- 
Madawa Soysa
Software Engineering Intern | WS*O₂* Inc. 

Mobile: +94 75 812 0726 | Email: mada...@wso2.com
LinkedIn  | Twitter
 | Tumblr 
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Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Nirmal Fernando]

Please try out the M1 release for a better understanding on the back-end:
https://github.com/wso2/product-ml/releases/tag/1.0.0-m1

On Sun, Mar 22, 2015 at 10:45 AM, Madawa Soysa  wrote:

> Hi,
>
> Attached the initial draft proposal[1]
> 
> and milestone plan[2]
> .
> It would be great if i could get a feedback on this.
>
> [1] -
> https://docs.google.com/a/wso2.com/document/d/1Hb16-07ClxBH3Pvhna4lRASUoRGqvkgnmPLn9YF1rcY/edit?usp=sharing
> [2] -
> https://docs.google.com/a/wso2.com/spreadsheets/d/1BMGX3-Ub5rqcFKbIYCxutKKBP4r_1rl02OZUOb5SYeA/edit?usp=sharing
>
> Thanks,
> Madawa.
>
> On 18 March 2015 at 09:02, Madawa Soysa  wrote:
>
>> Hi,
>>
>> I have done my research about Spark and available technologies to
>> implement the e-commerce tracking client. I'm currently preparing the
>> project proposal and is there any documentation I could read about WSO2 ML?
>>
>> Also when the tracking client POST the details to the REST API, are those
>> information goes to ML through CEP as events?
>>
>> Regards,
>> Madawa.
>>
>> On 3 March 2015 at 09:37, Nirmal Fernando  wrote:
>>
>>> +1
>>>
>>> On Tue, Mar 3, 2015 at 9:34 AM, Srinath Perera  wrote:
>>>
 Can we meet 2.30 @ TRACE?

 On Tue, Mar 3, 2015 at 9:31 AM, Madawa Soysa  wrote:

> Hi,
>
> I'm Madawa Soysa, an undergraduate at Department of Computer Science
> and Engineering, University of Moratuwa. Currently I'm an intern at WSO2
> Inc. I went through the proposal[1]
> 
>  and
> interested in contributing to the project.
>
> I't would be great if i could further discuss about the above project.
>
> [1]
> - 
> https://docs.wso2.com/display/GSoC/Project+Proposals+for+2015#ProjectProposalsfor2015-Proposal11:RecommendationSolutionforWSO2MachineLearner
> 
>
> --
> Madawa Soysa
> Software Engineering Intern | WS*O₂* Inc. 
>
> Mobile: +94 75 812 0726 | Email: mada...@wso2.com
> LinkedIn  | Twitter
>  | Tumblr 
>



 --
 
 Blog: http://srinathsview.blogspot.com twitter:@srinath_perera
 Site: http://people.apache.org/~hemapani/
 Photos: http://www.flickr.com/photos/hemapani/
 Phone: 0772360902

>>>
>>>
>>>
>>> --
>>>
>>> Thanks & regards,
>>> Nirmal
>>>
>>> Senior Software Engineer- Platform Technologies Team, WSO2 Inc.
>>> Mobile: +94715779733
>>> Blog: http://nirmalfdo.blogspot.com/
>>>
>>>
>>>
>>
>>
>> --
>> Madawa Soysa
>> Software Engineering Intern | WS*O₂* Inc. 
>>
>> Mobile: +94 75 812 0726 | Email: mada...@wso2.com
>> LinkedIn  | Twitter
>>  | Tumblr 
>>
>
>
>
> --
> Madawa Soysa
> Software Engineering Intern | WS*O₂* Inc. 
>
> Mobile: +94 75 812 0726 | Email: mada...@wso2.com
> LinkedIn  | Twitter
>  | Tumblr 
>



-- 

Thanks & regards,
Nirmal

Senior Software Engineer- Platform Technologies Team, WSO2 Inc.
Mobile: +94715779733
Blog: http://nirmalfdo.blogspot.com/
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Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Madawa Soysa]

I will try this out. Thanks.




On 23 March 2015 at 19:50, Nirmal Fernando  wrote:

> Please try out the M1 release for a better understanding on the back-end:
> https://github.com/wso2/product-ml/releases/tag/1.0.0-m1
>
> On Sun, Mar 22, 2015 at 10:45 AM, Madawa Soysa  wrote:
>
>> Hi,
>>
>> Attached the initial draft proposal[1]
>> 
>> and milestone plan[2]
>> .
>> It would be great if i could get a feedback on this.
>>
>> [1] -
>> https://docs.google.com/a/wso2.com/document/d/1Hb16-07ClxBH3Pvhna4lRASUoRGqvkgnmPLn9YF1rcY/edit?usp=sharing
>> [2] -
>> https://docs.google.com/a/wso2.com/spreadsheets/d/1BMGX3-Ub5rqcFKbIYCxutKKBP4r_1rl02OZUOb5SYeA/edit?usp=sharing
>>
>> Thanks,
>> Madawa.
>>
>> On 18 March 2015 at 09:02, Madawa Soysa  wrote:
>>
>>> Hi,
>>>
>>> I have done my research about Spark and available technologies to
>>> implement the e-commerce tracking client. I'm currently preparing the
>>> project proposal and is there any documentation I could read about WSO2 ML?
>>>
>>> Also when the tracking client POST the details to the REST API, are
>>> those information goes to ML through CEP as events?
>>>
>>> Regards,
>>> Madawa.
>>>
>>> On 3 March 2015 at 09:37, Nirmal Fernando  wrote:
>>>
 +1

 On Tue, Mar 3, 2015 at 9:34 AM, Srinath Perera 
 wrote:

> Can we meet 2.30 @ TRACE?
>
> On Tue, Mar 3, 2015 at 9:31 AM, Madawa Soysa  wrote:
>
>> Hi,
>>
>> I'm Madawa Soysa, an undergraduate at Department of Computer Science
>> and Engineering, University of Moratuwa. Currently I'm an intern at WSO2
>> Inc. I went through the proposal[1]
>> 
>>  and
>> interested in contributing to the project.
>>
>> I't would be great if i could further discuss about the above project.
>>
>> [1]
>> - 
>> https://docs.wso2.com/display/GSoC/Project+Proposals+for+2015#ProjectProposalsfor2015-Proposal11:RecommendationSolutionforWSO2MachineLearner
>> 
>>
>> --
>> Madawa Soysa
>> Software Engineering Intern | WS*O₂* Inc. 
>>
>> Mobile: +94 75 812 0726 | Email: mada...@wso2.com
>> LinkedIn  | Twitter
>>  | Tumblr 
>>
>
>
>
> --
> 
> Blog: http://srinathsview.blogspot.com twitter:@srinath_perera
> Site: http://people.apache.org/~hemapani/
> Photos: http://www.flickr.com/photos/hemapani/
> Phone: 0772360902
>



 --

 Thanks & regards,
 Nirmal

 Senior Software Engineer- Platform Technologies Team, WSO2 Inc.
 Mobile: +94715779733
 Blog: http://nirmalfdo.blogspot.com/



>>>
>>>
>>> --
>>> Madawa Soysa
>>> Software Engineering Intern | WS*O₂* Inc. 
>>>
>>> Mobile: +94 75 812 0726 | Email: mada...@wso2.com
>>> LinkedIn  | Twitter
>>>  | Tumblr 
>>>
>>
>>
>>
>> --
>> Madawa Soysa
>> Software Engineering Intern | WS*O₂* Inc. 
>>
>> Mobile: +94 75 812 0726 | Email: mada...@wso2.com
>> LinkedIn  | Twitter
>>  | Tumblr 
>>
>
>
>
> --
>
> Thanks & regards,
> Nirmal
>
> Senior Software Engineer- Platform Technologies Team, WSO2 Inc.
> Mobile: +94715779733
> Blog: http://nirmalfdo.blogspot.com/
>
>
>


-- 
Madawa Soysa
Software Engineering Intern | WS*O₂* Inc. 

Mobile: +94 75 812 0726 | Email: mada...@wso2.com
LinkedIn  | Twitter
 | Tumblr 
___
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Re: [Dev] [GSoC-2015] Proposal 11: Recommendation Solution for WSO2 Machine Learner

[Nirmal Fernando]

Hi Madawa,

Proposal looks good. Please start creating it in Melange and submit it.

On Mon, Mar 23, 2015 at 7:53 PM, Madawa Soysa  wrote:

> I will try this out. Thanks.
>
>
>
>
> On 23 March 2015 at 19:50, Nirmal Fernando  wrote:
>
>> Please try out the M1 release for a better understanding on the back-end:
>> https://github.com/wso2/product-ml/releases/tag/1.0.0-m1
>>
>> On Sun, Mar 22, 2015 at 10:45 AM, Madawa Soysa  wrote:
>>
>>> Hi,
>>>
>>> Attached the initial draft proposal[1]
>>> 
>>> and milestone plan[2]
>>> .
>>> It would be great if i could get a feedback on this.
>>>
>>> [1] -
>>> https://docs.google.com/a/wso2.com/document/d/1Hb16-07ClxBH3Pvhna4lRASUoRGqvkgnmPLn9YF1rcY/edit?usp=sharing
>>> [2] -
>>> https://docs.google.com/a/wso2.com/spreadsheets/d/1BMGX3-Ub5rqcFKbIYCxutKKBP4r_1rl02OZUOb5SYeA/edit?usp=sharing
>>>
>>> Thanks,
>>> Madawa.
>>>
>>> On 18 March 2015 at 09:02, Madawa Soysa  wrote:
>>>
 Hi,

 I have done my research about Spark and available technologies to
 implement the e-commerce tracking client. I'm currently preparing the
 project proposal and is there any documentation I could read about WSO2 ML?

 Also when the tracking client POST the details to the REST API, are
 those information goes to ML through CEP as events?

 Regards,
 Madawa.

 On 3 March 2015 at 09:37, Nirmal Fernando  wrote:

> +1
>
> On Tue, Mar 3, 2015 at 9:34 AM, Srinath Perera 
> wrote:
>
>> Can we meet 2.30 @ TRACE?
>>
>> On Tue, Mar 3, 2015 at 9:31 AM, Madawa Soysa 
>> wrote:
>>
>>> Hi,
>>>
>>> I'm Madawa Soysa, an undergraduate at Department of Computer Science
>>> and Engineering, University of Moratuwa. Currently I'm an intern at WSO2
>>> Inc. I went through the proposal[1]
>>> 
>>>  and
>>> interested in contributing to the project.
>>>
>>> I't would be great if i could further discuss about the above
>>> project.
>>>
>>> [1]
>>> - 
>>> https://docs.wso2.com/display/GSoC/Project+Proposals+for+2015#ProjectProposalsfor2015-Proposal11:RecommendationSolutionforWSO2MachineLearner
>>> 
>>>
>>> --
>>> Madawa Soysa
>>> Software Engineering Intern | WS*O₂* Inc. 
>>>
>>> Mobile: +94 75 812 0726 | Email: mada...@wso2.com
>>> LinkedIn  | Twitter
>>>  | Tumblr 
>>>
>>
>>
>>
>> --
>> 
>> Blog: http://srinathsview.blogspot.com twitter:@srinath_perera
>> Site: http://people.apache.org/~hemapani/
>> Photos: http://www.flickr.com/photos/hemapani/
>> Phone: 0772360902
>>
>
>
>
> --
>
> Thanks & regards,
> Nirmal
>
> Senior Software Engineer- Platform Technologies Team, WSO2 Inc.
> Mobile: +94715779733
> Blog: http://nirmalfdo.blogspot.com/
>
>
>


 --
 Madawa Soysa
 Software Engineering Intern | WS*O₂* Inc. 

 Mobile: +94 75 812 0726 | Email: mada...@wso2.com
 LinkedIn  | Twitter
  | Tumblr 

>>>
>>>
>>>
>>> --
>>> Madawa Soysa
>>> Software Engineering Intern | WS*O₂* Inc. 
>>>
>>> Mobile: +94 75 812 0726 | Email: mada...@wso2.com
>>> LinkedIn  | Twitter
>>>  | Tumblr 
>>>
>>
>>
>>
>> --
>>
>> Thanks & regards,
>> Nirmal
>>
>> Senior Software Engineer- Platform Technologies Team, WSO2 Inc.
>> Mobile: +94715779733
>> Blog: http://nirmalfdo.blogspot.com/
>>
>>
>>
>
>
> --
> Madawa Soysa
> Software Engineering Intern | WS*O₂* Inc. 
>
> Mobile: +94 75 812 0726 | Email: mada...@wso2.com
> LinkedIn  | Twitter
>  | Tumblr 
>



-- 

Thanks & regards,
Nirmal

Senior Software Engineer- Platform Technologies Team, WSO2 Inc.
Mobile: +94715779733
Blog: http://nirmalfdo.blogspot.com/
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Re: [Dev] [GSOC 2015] proposal 11 Recommendation Solution for WSO2 Machine Learner

[Nirmal Fernando]

Really sorry Abel, we have missed your previous email. Proposal looks good,
but try to add more findings on the current recommendation algorithms that
Spark supports.

Please submit the proposal asap to Melange too.

On Fri, Mar 27, 2015 at 8:08 PM, Abel Amwayi  wrote:

> hello,
>
>
> Before the submission ends would like to know if this is satisfactory i
> had not recieved feedback as of yesterday.i have attached my proposal,
> thank you.
>
>
> Kind regards,
> Amwayi Abel.
>



-- 

Thanks & regards,
Nirmal

Senior Software Engineer- Platform Technologies Team, WSO2 Inc.
Mobile: +94715779733
Blog: http://nirmalfdo.blogspot.com/
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