Difference between revisions of "Rating prediction"
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Zeno Gantner (talk | contribs) |
Zeno Gantner (talk | contribs) |
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== See also == | == See also == | ||
* [[Netflix Prize]] | * [[Netflix Prize]] | ||
| + | |||
| + | == Literature == | ||
| + | * [[Benjamin M. Marlin]], [[Richard Zemel]]: ''[http://www.cs.toronto.edu/~marlin/research/papers/acmrec2009-MarlinZemel.pdf Collaborative Prediction and Ranking with Non-Random Missing Data.]'' [[RecSys 2009]] | ||
| + | * [[Yehuda Koren]], [[Robert Bell]], [[Chris Volinsky]]: ''[http://research.yahoo.com/files/ieeecomputer.pdf Matrix Factorization Techniques for Recommender Systems.]'' IEEE Computer, 2009 | ||
[[Category: Task]] | [[Category: Task]] | ||
Revision as of 08:34, 21 July 2011
Rating prediction is the task of predicting a given user's ratings for a given item based on past ratings (CF) or other information. The Netflix Prize was an exercise in rating prediction. Rating prediciton is often evaluated with RMSE.
