Unify ranking of boolean recommendations in distributed and non-distributed
recommenders
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Key: MAHOUT-553
URL: https://issues.apache.org/jira/browse/MAHOUT-553
Project: Mahout
Issue Type: Improvement
Components: Collaborative Filtering
Affects Versions: 0.5
Reporter: Sebastian Schelter
When use a weighted some for preference estimation on boolean data the
predicted preferences can only be 1 or NaN which is mathematically correct but
not very useful for ranking them. The distributed recommender should adapt the
behavior of GenericBooleanPrefItemBasedRecommender in that case: use the sums
of similarities to rank the recommended items.
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