[jira] Resolved: (MAHOUT-553) Unify ranking of boolean recommendations in distributed and non-distributed recommenders

["Sebastian Schelter (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MAHOUT-553?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sebastian Schelter resolved MAHOUT-553.
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       Resolution: Fixed
    Fix Version/s: 0.5

> 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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