Modeling ordinal data for recommendation system
In this work we investigate the problem of making personalized recommendations by creating models for predicting user-item rating, such as in movie recommendations. The study is based on the Movielens data set which has ratings on an ordinal scale. In the past, partly due to motivation gained by the...
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| Language: | English |
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University of British Columbia
2014
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| Online Access: | http://hdl.handle.net/2429/50433 |