Difference between revisions of "Rating prediction"
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| − | '''Rating prediction''' is the task of predicting a given [[ | + | '''Rating prediction''' is the task of predicting a given [[user]]'s ratings for a given [[item]] based on past ratings ([[Collaborative Filtering|CF]]) or other information. The [[Netflix Prize]] was an exercise in rating prediction. Rating prediciton is often evaluated with [[RMSE]]. |
| + | == See also == | ||
| + | * [[Item recommendation]] | ||
| + | * [[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]] |
| − | [[Category:Task]] | + | * [[Yehuda Koren]], [[Robert Bell]], [[Chris Volinsky]]: ''[http://research.yahoo.com/files/ieeecomputer.pdf Matrix Factorization Techniques for Recommender Systems.]'' IEEE Computer, 2009 |
| + | |||
| + | [[Category: Task]] | ||
Latest revision as of 15:30, 1 September 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.
