As long as your compiling machine has internet access you could build a fat jar
with all dependencies as well
http://stackoverflow.com/questions/574594/how-can-i-create-an-executable-jar-with-dependencies-using-maven
On 25 Jun 2014, at 16:10, Adri Gómez adri12...@gmail.com wrote:
Hi,
I
As far as I remember they denied further distribution after a paper has been
published, describing how IMDB profiles can be used to de-anonymize the netflix
dataset.
On 13 Feb 2014, at 14:01, Abhijith CHandraprabhu abhiji...@gmail.com wrote:
Unfortunately the dataset is no more available as
Does anyone know what the difference is between keeping the ids in a space
delimited string and indexing a multivalued field of ids? I recently tried the
latter since ... it felt right, however I am not sure which of both has which
advantages.
On 07 Nov 2013, at 18:18, Pat Ferrel
Just a quick a assumption, maybe I have not thought this through enough:
1. Users probably tend to compare products = similar VIEWS
2. User as well might tend to PURCHASE accessory products, like the laptop bag
you mentioned
May be you could filter out products that have a similarity computed
a penalty score. When done with
this, I re-sort the results and the duplicative content falls to the bottom
of the recommendations.
On Thu, Sep 5, 2013 at 1:15 AM, Dominik Hübner cont...@dhuebner.com wrote:
Just a quick a assumption, maybe I have not thought this through enough:
1
I've just finished implementing a collaborative recommender system based on
views, sales and similar user-product interactions. This approach works quite
well and I am pleased with the results.
Nevertheless, I am want to know what influence the integration of some item
specific features would
+1 for getting something like that in a future release of Mahout
On Jul 19, 2013, at 10:02 PM, Sebastian Schelter s...@apache.org wrote:
It would be awesome if we could get a nice, easily deployable
implementation of that approach into Mahout before 1.0
2013/7/19 Ted Dunning
-as-recommendation
On Jun 1, 2013, at 12:19 PM, Dominik Hübner cont...@dhuebner.com wrote:
Thanks for those detailed responses!
So I assume that the problem of scaling the initial recommendations can be
implicitly solved by learning the weights for the linear combination. The log
rank Ted mentioned
?
On Fri, May 31, 2013 at 3:07 PM, Dominik Hübner cont...@dhuebner.com
wrote:
Hey,
I have implemented a cross recommender based on the approach Ted
Dunning
proposed (cannot find the original post, but here is a follow up
http://www.mail-archive.com/user@mahout.apache.org/msg12983.html
Hey,
I have implemented a cross recommender based on the approach Ted Dunning
proposed (cannot find the original post, but here is a follow up
http://www.mail-archive.com/user@mahout.apache.org/msg12983.html).
Currently I am struggling with the last step of blending the initial
I am currently working on a dataset containing product views and sales of about
10^7 users and 6000 items for my master's thesis in CS. My goal is to build
product clusters from this. As expected, item-(row)-vectors are VERY sparse. My
current approach is to implement PCA using the SVDSolver
And running the clustering on the cooccurrence matrix or doing PCA by removing
eigenvalues/vectors?
On May 6, 2013, at 8:52 PM, Ted Dunning ted.dunn...@gmail.com wrote:
On Mon, May 6, 2013 at 11:29 AM, Dominik Hübner cont...@dhuebner.comwrote:
Oh, and I forgot how the views and sales
).
What is the high level goal that you are trying to solve with this
clustering?
On Mon, May 6, 2013 at 12:01 PM, Dominik Hübner cont...@dhuebner.comwrote:
And running the clustering on the cooccurrence matrix or doing PCA by
removing eigenvalues/vectors?
On May 6, 2013, at 8:52 PM, Ted
to best performance.
On Mon, May 6, 2013 at 12:35 PM, Dominik Hübner cont...@dhuebner.comwrote:
Well, as you already might have guessed, I am building a product
recommender system for my thesis.
I am planning to evaluate ALS (both, implicit and explicit) as well as
item -similarity
sparsification
or ALS+reconstruction. These indicators can be historical items or static
items such as geo information. These indicators can be combined in a
single step using a search engine.
On Mon, May 6, 2013 at 2:58 PM, Dominik Hübner cont...@dhuebner.com wrote:
The cluster
Hey,
have a look here https://github.com/tdunning/MiA/tree/mahout-0.7
Examples from the book ported to 0.7
On Apr 14, 2013, at 8:12 PM, Max Bridgewater max.bridgewa...@gmail.com wrote:
Hi Folks,
I am learning Mahout using Mahout in Action. The problem: it is not
based on the current
Do you run hadoop in pseudo mode or on a real cluster? If hadoop is running on
a cluster, the classes in your class path are of course not reachable.
I usually let maven include the mahout jars into my project's package. This way
your applications becomes independent on what kind of hadoop
Try adding this to your pom file
build
plugins
plugin
groupIdorg.apache.maven.plugins/groupId
artifactIdmaven-assembly-plugin/artifactId
executions
execution
I was recently having a look at the ALS-WR factorisation code. Why is there a
QR decomposition before computing u_i or m_j instead of multiplying the inverse
of A_i with V_i straightaway? (reference to these two classes
19 matches
Mail list logo
