[jira] [Updated] (MAHOUT-1089) SGD matrix factorization for rating prediction with user and item biases

["Suneel Marthi (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MAHOUT-1089?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Suneel Marthi updated MAHOUT-1089:
----------------------------------

    Affects Version/s: 0.7
        Fix Version/s: 0.8
    
> SGD matrix factorization for rating prediction with user and item biases
> ------------------------------------------------------------------------
>
>                 Key: MAHOUT-1089
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-1089
>             Project: Mahout
>          Issue Type: New Feature
>          Components: Collaborative Filtering
>    Affects Versions: 0.7
>            Reporter: Zeno Gantner
>            Assignee: Sebastian Schelter
>             Fix For: 0.8
>
>         Attachments: MAHOUT-1089.patch, RatingSGDFactorizer.java, RatingSGDFactorizer.java
>
>
> A matrix factorization that is trained with standard SGD on all features at the same time, in contrast to ExpectationMaximizationFactorizer, which learns feature by feature.
> Additionally to the free features it models a rating bias for each user and item.

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