Designing a context dependant movie recommender: a hierarchical Bayesian approach
In this thesis, we analyze a context-dependent movie recommendation system using a Hierarchical Bayesian Network. Unlike most other recommender systems which either do not consider context or do so using collaborative filtering, our approach is content-based. This allows users to individually interp...
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Format: | Others |
Language: | en |
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McGill University
2010
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Online Access: | http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=86751 |