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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