[jira] [Created] (MAHOUT-1422) Make a version of RSJ that uses two inputs

["Pat Ferrel (JIRA)" <ji...@apache.org>]

Pat Ferrel created MAHOUT-1422:
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             Summary: Make a version of RSJ that uses two inputs
                 Key: MAHOUT-1422
                 URL: https://issues.apache.org/jira/browse/MAHOUT-1422
             Project: Mahout
          Issue Type: Improvement
          Components: Collaborative Filtering
    Affects Versions: 1.0
         Environment: mapreduce
            Reporter: Pat Ferrel
             Fix For: 1.0


Currently the RowSimiairtyJob uses a similarity measure to pairwise compare all row in a DistributedRowMatrix.

For many applications including a cross-action recommender we need something like RSJ that takes two DRMs and compares matching rows of each.  The output would be the same form as RSJ, and ideally would allow the use of any similarity type already defined--especially LLR.

There are two implementations of a Cross-Recommender one based on the Mahout RecommenderJob, and another based on Solr, that can immediately benefit from a Cross-RSJ. 

A modification of the matrix multiply job may be a place to start since the current RSJ seems to rely heavily if self-similarity.



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