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https://issues.apache.org/jira/browse/MAHOUT-1464?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sebastian Schelter updated MAHOUT-1464:
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Attachment: MAHOUT-1464.patch
Luckily, Dmitriy's latest commit solved most of my problems as it provides the
machinery to compute column sums and broadcast drms. Awesome work, Dmitriy.
Here is a first hacky version of cooccurrence analysis with downsampling and
LLR using Dmitriy's new DSL.
Successfully tested on the movielens1M dataset on my laptop :)
> RowSimilarityJob on Spark
> -------------------------
>
> Key: MAHOUT-1464
> URL: https://issues.apache.org/jira/browse/MAHOUT-1464
> Project: Mahout
> Issue Type: Improvement
> Components: Collaborative Filtering
> Affects Versions: 0.9
> Environment: hadoop, spark
> Reporter: Pat Ferrel
> Labels: performance
> Fix For: 0.9
>
> Attachments: MAHOUT-1464.patch
>
>
> Create a version of RowSimilarityJob that runs on Spark. Ssc has a prototype
> here: https://gist.github.com/sscdotopen/8314254. This should be compatible
> with Mahout Spark DRM DSL so a DRM can be used as input.
> Ideally this would extend to cover MAHOUT-1422 which is a feature request for
> RSJ on two inputs to calculate the similarity of rows of one DRM with those
> of another. This cross-similarity has several applications including
> cross-action recommendations.
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