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https://issues.apache.org/jira/browse/MAHOUT-553?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12936129#action_12936129
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Hudson commented on MAHOUT-553:
-------------------------------
Integrated in Mahout-Quality #482 (See
[https://hudson.apache.org/hudson/job/Mahout-Quality/482/])
> Unify ranking of boolean recommendations in distributed and non-distributed
> recommenders
> ----------------------------------------------------------------------------------------
>
> Key: MAHOUT-553
> URL: https://issues.apache.org/jira/browse/MAHOUT-553
> Project: Mahout
> Issue Type: Improvement
> Components: Collaborative Filtering
> Affects Versions: 0.5
> Reporter: Sebastian Schelter
> Fix For: 0.5
>
>
> When using a weighted sum for preference estimation on boolean data, the
> predicted preferences can only be 1 or NaN which is mathematically correct
> but not very useful for ranking them. The distributed recommender should
> therefore adapt the behavior of GenericBooleanPrefItemBasedRecommender in
> that case: use the sums of similarities to rank the recommended items.
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