Kris Jack created MAHOUT-1004:
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Summary: Distributed User-based Collaborative Filtering
Key: MAHOUT-1004
URL: https://issues.apache.org/jira/browse/MAHOUT-1004
Project: Mahout
Issue Type: New Feature
Components: Collaborative Filtering
Reporter: Kris Jack
Assignee: Sean Owen
Priority: Minor
I'd like to contribute code that implements a distributed user-based
collaborative filtering algorithm.
In brief, so far I've taken the code for the existing
org.apache.mahout.cf.taste.hadoop.item.RecommenderJob and created a new
org.apache.mahout.cf.taste.hadoop.user.RecommenderJob. With help from Sean
Owen, I followed a similar approach to the item-based implementation, but
multiplied a user-user matrix with a user-item vector rather than an item-item
matrix with an item-user vector. The result of the multiplication then needs
to be transposed in order to output recommendations by user id.
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