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