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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Bibliographic Details
Main Author: Pomerantz, Daniel
Other Authors: Gregory L Dudek (Internal/Supervisor)
Format: Others
Language:en
Published: McGill University 2010
Subjects:
Online Access:http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=86751