Hi Pat,
Thanks for the reply.
I am not trying to create a personalize search but rather a recommendation
feature with in the application.
I am letting Solr to take care of the search and Mahout (APIs) to take care
of user recommendation.
To handle the user interaction with the documents, applic
How is this different than content based search?
What data other than words in content do you want to use?
The document ratings? If this is all you are using then all you need is to
boost results by the rating value or some simple thing like that. It might be
better to get help from the Solr us
Hi Pat,
Thanks a lot for the detailed reply,it guided me to read more on to the
recommendation features provided by mahout.
I have been trying to find a recommendation approach for my application.
Kindly find the details of my approach panned for item recommendation.
Kindly request you to correc
Ted’s cautions still apply regarding interactions per item and per user. Do not
ignore this advice.
Also doing behavioral boosting in search is very different from item-based
recommendations. Behavioral boosting will give you only a small amount of lift
vs creating a recommender. Intuitively t
Hundreds of users are going to generate a really, really tiny amount of
data (relative to the normal amounts that recommenders get to see).
The problem is that hundreds of hyper-active users who issue thousands of
queries are only going to generate a tiny amount of data per document. You
will need
Hi Ted,
Each documents to be indexed by Solr has fairly large content in it and
100+ users searching within it(once the solr search tool goes live).
Kindly guide me on the integration steps for mahout with Solr(with respect
all the stats mentioned).
Thanks and Regards,
Arun
On 2 April 2017 at 1
Arun,
That's good news.
The second limitation will be how much data you have for each document and
whehter you have a good measure of how engaged users are with documents.
On Sat, Apr 1, 2017 at 6:48 PM, arun abraham
wrote:
> Hi Ted,
>
> Thanks for the reply.
>
> I understood Ted,to have a
Hi Ted,
Thanks for the reply.
I understood Ted,to have a good effective results a larger set of
documents/index is required.
For all the Solr related functionalities and Search,I used ~100 docs(path
pointing to my local system) to index and set things up.This is only for
testing and implementin
On Sat, Apr 1, 2017 at 6:21 PM, arun abraham
wrote:
> As a first step I am trying to recommend min of two documents(As my
> Solr document index is ~100 docs).
>
This is kind of weird.
Can you say why you have so very few documents?
There may be something special going on that will make this w
Hi,
Thanks Pat for the reply.
I am trying to implement item based recommendation as the first step.When
the user searches with a keyword(using Solr),not only it should return
keyword matching results(already implemented along with other search
features of Solr) but also related documents(recommen
You want to create “Behavioral Search”? This is where you boost items that have
the search terms in them more likely to be favored by the individual user?
You want to use the CCO algorithm in Mahout. You need to collect behavioral
information like conversions, detailed page views, etc. Run each
Hi All,
I am trying to integrate Apache mahout with Solr.I have created a search
application using Solr which has spellcheck,type ahead suggestions
functionalities.I have a new requirement to display recommendations( from
index which has ~100 docs ) for a specific search(keyword based).Is it
possi
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