Abstract
This paper proposes a novel approach for constructing users’ movie preference models using Bayesian networks. The advantages of the constructed preference models are 1) consideration of users’ context in addition to users’ personality, 2) multiple applications, such as recommendation and promotion. Data acquisition process through a WWW questionnaire survey and a Bayesian network model construction process using the data are described. The effectiveness of the constructed model in terms of recommendation and promotion is also demonstrated through experiments.
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Ono, C., Kurokawa, M., Motomura, Y., Asoh, H. (2007). A Context-Aware Movie Preference Model Using a Bayesian Network for Recommendation and Promotion. In: Conati, C., McCoy, K., Paliouras, G. (eds) User Modeling 2007. UM 2007. Lecture Notes in Computer Science(), vol 4511. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73078-1_28
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DOI: https://doi.org/10.1007/978-3-540-73078-1_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73077-4
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