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From "Sean Owen (JIRA)" <j...@apache.org>
Subject [jira] Commented: (MAHOUT-305) Combine both cooccurrence-based CF M/R jobs
Date Tue, 27 Apr 2010 12:17:31 GMT

    [ https://issues.apache.org/jira/browse/MAHOUT-305?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12861381#action_12861381
] 

Sean Owen commented on MAHOUT-305:
----------------------------------

I see, fair enough. Even for this simplistic initial system, something better is called for.
Perhaps the mappers can keep a count of how many times each item has been seen and favor co-occurrences
among items that have *not* been seen. they wouldn't have a global count but such a simple
heuristic may be efficient and effective. For now I might arbitrarily prune, say, for user
vectors with more than 50 preferences.

> Combine both cooccurrence-based CF M/R jobs
> -------------------------------------------
>
>                 Key: MAHOUT-305
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-305
>             Project: Mahout
>          Issue Type: Improvement
>          Components: Collaborative Filtering
>    Affects Versions: 0.2
>            Reporter: Sean Owen
>            Assignee: Ankur
>            Priority: Minor
>
> We have two different but essentially identical MapReduce jobs to make recommendations
based on item co-occurrence: org.apache.mahout.cf.taste.hadoop.{item,cooccurrence}. They ought
to be merged. Not sure exactly how to approach that but noting this in JIRA, per Ankur.

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