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https://issues.apache.org/jira/browse/MAHOUT-827?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13120287#comment-13120287
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Sebastian Schelter commented on MAHOUT-827:
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This job does not dump the item-item similarities, it provides an alternative
way to compute the actual recommendations by replacing the reduce-side join of
the current RecommenderJob with a map-only broadcast join (which only works as
long as the similarity matrix fits into memory).
We could also think about integrating it into the current RecommenderJob.
> Another version of RecommenderJob that broadcasts the similarity matrix
> -----------------------------------------------------------------------
>
> Key: MAHOUT-827
> URL: https://issues.apache.org/jira/browse/MAHOUT-827
> Project: Mahout
> Issue Type: New Feature
> Components: Collaborative Filtering
> Affects Versions: 0.6
> Reporter: Sebastian Schelter
> Assignee: Sebastian Schelter
> Attachments: MAHOUT-827.patch
>
>
> Add another version of RecommenderJob that computes the item similarities via
> RowSimilarityJob but assumes that the resulting similarity matrix fits into
> the memory of the mappers in the cluster. After the item similarity
> computation is done, the similarities are broadcasted via Hadoop's
> distributed cache and the recommendations are computed in a map-only pass
> over the data afterwards.
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