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Posted to dev@mahout.apache.org by "Sebastian Schelter (Updated) (JIRA)" <ji...@apache.org> on 2011/11/08 11:12:51 UTC

[jira] [Updated] (MAHOUT-877) Enable the parallel ALS recommender to use implicit feedback data

     [ https://issues.apache.org/jira/browse/MAHOUT-877?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sebastian Schelter updated MAHOUT-877:
--------------------------------------

    Attachment: MAHOUT-877.patch
    
> Enable the parallel ALS recommender to use implicit feedback data
> -----------------------------------------------------------------
>
>                 Key: MAHOUT-877
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-877
>             Project: Mahout
>          Issue Type: New Feature
>          Components: Collaborative Filtering
>    Affects Versions: 0.6
>            Reporter: Sebastian Schelter
>            Assignee: Sebastian Schelter
>         Attachments: MAHOUT-877.patch
>
>
> Mahout's ParallelALSFactorizationJob offers a distributed matrix factorization for computing recommendations. The current implementation is only suited for explicit feedback data (ratings) unfortunately. 
> The majority of usecases has to work with implicit feedback however. The paper "Collaborative Filtering for Implicit Feedback Datasets" http://research.yahoo.com/pub/2433 describes a closely related approach that is aimed at implicit feedback data and should easily be integratable into the current ParallelALSJob.

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