Zeno Gantner created MAHOUT-1089:
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Summary: SGD matrix factorization for rating prediction with user
and item biases
Key: MAHOUT-1089
URL: https://issues.apache.org/jira/browse/MAHOUT-1089
Project: Mahout
Issue Type: New Feature
Components: Collaborative Filtering
Reporter: Zeno Gantner
Assignee: Sean Owen
A matrix factorization that is trained with standard SGD on all features at the
same time, in contrast to ExpectationMaximizationFactorizer, which learns
feature by feature.
Additionally to the free features it models a rating bias for each user and
item.
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