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https://issues.apache.org/jira/browse/MAHOUT-877?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13146309#comment-13146309
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Hudson commented on MAHOUT-877:
-------------------------------

Integrated in Mahout-Quality #1161 (See 
[https://builds.apache.org/job/Mahout-Quality/1161/])
    MAHOUT-877 Enable the parallel ALS recommender to use implicit feedback data

ssc : http://svn.apache.org/viewcvs.cgi/?root=Apache-SVN&view=rev&rev=1199171
Files : 
* 
/mahout/trunk/core/src/main/java/org/apache/mahout/cf/taste/hadoop/als/ParallelALSFactorizationJob.java
* 
/mahout/trunk/core/src/main/java/org/apache/mahout/cf/taste/impl/recommender/svd/ALSWRFactorizer.java
* 
/mahout/trunk/core/src/test/java/org/apache/mahout/cf/taste/hadoop/als/ParallelALSFactorizationJobTest.java
* 
/mahout/trunk/math/src/main/java/org/apache/mahout/math/als/AlternateLeastSquaresSolver.java
* 
/mahout/trunk/math/src/main/java/org/apache/mahout/math/als/AlternatingLeastSquaresSolver.java
* 
/mahout/trunk/math/src/main/java/org/apache/mahout/math/als/ImplicitFeedbackAlternatingLeastSquaresSolver.java
* 
/mahout/trunk/math/src/test/java/org/apache/mahout/math/als/AlternateLeastSquaresSolverTest.java
* 
/mahout/trunk/math/src/test/java/org/apache/mahout/math/als/AlternatingLeastSquaresSolverTest.java

                
> 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
>             Fix For: 0.6
>
>         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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