What is it about?
A user preference model represents what a user might be interested in. Generated user preference model can be used to a recommendation. Target application of this paper is TV program recommendation. This study estimates such a model implicitly by analyzing the log of watched TV programs and utterances during watching TV.
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Why is it important?
We proposed to analyze user utterances for improving the quality of user preference model generated with an implicit approach.
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This page is a summary of: Mining User Preference Model from Utterances, January 2009, Springer Science + Business Media,
DOI: 10.1007/978-3-642-01091-0_5.
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