[jira] [Comment Edited] (MAHOUT-1004) Distributed User-based Collaborative Filtering

["Saleem Ansari (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/MAHOUT-1004?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13704407#comment-13704407 ] 

Saleem Ansari edited comment on MAHOUT-1004 at 7/13/13 10:49 AM:
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To understand how the user-based recommender would work, I have re-based the user-based recommender patch against trunk codebase. Now it compiles fine. However the tests are failing.


What I basically changed?

 * Use the latest API e.g. PriorityQueue instead of TopK, nonZeros.iterator() instead of iterateNonZero().

-Test failures-: http://pastebin.com/PxdQ4qw2

Test failures updated:  http://pastebin.com/sQWcG2Ya

 * -I think my ( Cygwin ) environment is not setup properly, hence the permission issues, due to which some tests are failing.-
 * Now ran the tests on Fedora 19 with a sane environment, so lesser tests fail.


Please have a look at the updated patch: [^MAHOUT-1004-trunk-rebased-but-tests-fail.patch]. In the meantime I will understand what would need to be re-factored and try to fix the test cases.


                
      was (Author: tuxdna):
    To understand how the user-based recommender would work, I have re-based the user-based recommender patch against trunk codebase. Now it compiles fine. However the tests are failing.


What I basically changed?

 * Use the latest API e.g. PriorityQueue instead of TopK, nonZeros.iterator() instead of iterateNonZero().

Test failures: http://pastebin.com/PxdQ4qw2

 * I think my ( Cygwin ) environment is not setup properly, hence the permission issues, due to which some tests are failing.


Please have a look at the updated patch: [^MAHOUT-1004-trunk-rebased-but-tests-fail.patch]. In the meantime I will understand what would need to be re-factored and try to fix the test cases.


                  
> Distributed User-based Collaborative Filtering
> ----------------------------------------------
>
>                 Key: MAHOUT-1004
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-1004
>             Project: Mahout
>          Issue Type: New Feature
>          Components: Collaborative Filtering
>    Affects Versions: 0.7
>            Reporter: Kris Jack
>            Priority: Minor
>              Labels: Recommender, User-based
>             Fix For: Backlog
>
>         Attachments: MAHOUT-1004.patch, MAHOUT-1004-trunk-rebased-but-tests-fail.patch
>
>   Original Estimate: 336h
>  Remaining Estimate: 336h
>
> I'd like to contribute code that implements a distributed user-based collaborative filtering algorithm.
> In brief, so far I've taken the code for the existing org.apache.mahout.cf.taste.hadoop.item.RecommenderJob and created a new org.apache.mahout.cf.taste.hadoop.user.RecommenderJob.  With help from Sean Owen, I followed a similar approach to the item-based implementation, but multiplied a user-user matrix with a user-item vector rather than an item-item matrix with an item-user vector.  The result of the multiplication then needs to be transposed in order to output recommendations by user id.

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