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From "Anusha R (JIRA)" <j...@apache.org>
Subject [jira] [Issue Comment Deleted] (MAHOUT-1004) Distributed User-based Collaborative Filtering
Date Wed, 06 Nov 2013 10:30:24 GMT

     [ https://issues.apache.org/jira/browse/MAHOUT-1004?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Anusha R updated MAHOUT-1004:
-----------------------------

    Comment: was deleted

(was: could we know in which version of mahout, will user based recommendation is available
and what exactly they are doing.)

> 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-trunk-rebased-but-tests-fail.patch, MAHOUT-1004.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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