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

["Sebastian Schelter (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/MAHOUT-1004?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13265738#comment-13265738 ] 

Sebastian Schelter commented on MAHOUT-1004:
--------------------------------------------

I think it would be good to also have a userbased approach. We should try to avoid code duplication however.
                
> 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
>            Reporter: Kris Jack
>            Assignee: Sean Owen
>            Priority: Minor
>              Labels: Recommender, User-based
>   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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