Add an option to prune away users with less than a given number of preferences
to ItemSimilarityJob and RecommenderJob
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Key: MAHOUT-628
URL: https://issues.apache.org/jira/browse/MAHOUT-628
Project: Mahout
Issue Type: New Feature
Components: Collaborative Filtering
Affects Versions: 0.5
Reporter: Sebastian Schelter
Assignee: Sebastian Schelter
Some real-world datasets (especially those created from implicit feedback)
might include users with only a tiny number of preferences (like
one-time-visitors only viewing a single item) that a users of ItemSimilarityJob
or RecommenderJob might want to prune away. I added a new parameter
"minPrefsPerUser" that makes those jobs throw out users with less than a given
number of preferences. It is per default set to 1 so that the input data stays
untouched.
It's just a small patch to make those jobs more usable in real-world scenarios.
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