Enable the parallel ALS recommender to use implicit feedback data
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Key: MAHOUT-877
URL: https://issues.apache.org/jira/browse/MAHOUT-877
Project: Mahout
Issue Type: New Feature
Components: Collaborative Filtering
Affects Versions: 0.6
Reporter: Sebastian Schelter
Assignee: Sebastian Schelter
Mahout's ParallelALSFactorizationJob offers a distributed matrix factorization
for computing recommendations. The current implementation is only suited for
explicit feedback data (ratings) unfortunately.
The majority of usecases has to work with implicit feedback however. The paper
"Collaborative Filtering for Implicit Feedback Datasets"
http://research.yahoo.com/pub/2433 describes a closely related approach that is
aimed at implicit feedback data and should easily be integratable into the
current ParallelALSJob.
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