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From "Hudson (JIRA)" <j...@apache.org>
Subject [jira] Commented: (MAHOUT-553) Unify ranking of boolean recommendations in distributed and non-distributed recommenders
Date Fri, 26 Nov 2010 23:43:14 GMT

    [ https://issues.apache.org/jira/browse/MAHOUT-553?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12936129#action_12936129
] 

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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