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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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Pat Ferrel resolved MAHOUT-1464.
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Resolution: Implemented
Fix Version/s: (was: 1.0)
0.10.0
SimilarityAnalysis has cooccurrence for columns, cross-cooccurrence too and row
similarity with LLR filtering. No other "similarity" measure is implemented.
Something like Cosine will require a different approach than A'A of AA' since
it requires vector dot products while LLR only looks at occurrence
counts--maybe something like the legacy mapreduce code. Deferring other
similarity measures.
> Cooccurrence Analysis on Spark
> ------------------------------
>
> Key: MAHOUT-1464
> URL: https://issues.apache.org/jira/browse/MAHOUT-1464
> Project: Mahout
> Issue Type: Improvement
> Components: Collaborative Filtering
> Environment: hadoop, spark
> Reporter: Pat Ferrel
> Assignee: Pat Ferrel
> Labels: DSL, scala, spark
> Fix For: 0.10.0
>
> Attachments: MAHOUT-1464.patch, MAHOUT-1464.patch, MAHOUT-1464.patch,
> MAHOUT-1464.patch, MAHOUT-1464.patch, MAHOUT-1464.patch, run-spark-xrsj.sh
>
>
> Create a version of Cooccurrence Analysis (RowSimilarityJob with LLR) that
> runs on Spark. 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. This cross-cooccurrence has
> several applications including cross-action recommendations.
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