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Preference recommendation for personalized search
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DOI：10.1016/j.knosys.2016.02.016.png)
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Abstract
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Conditional Preference Networks (CP-nets) are widely used to express qualitative preferences. As users are sometimes reluctant or unable to specify complete CP-nets, it prohibits personalized search from being effectively conducted. In this article, we present an approach to perform personalized search using incomplete CP-nets. We propose a preference recommendation scheme for complementing a user's CP-nets, so as to improve the accuracy of personalized search. We have conducted extensive simulation and user study to demonstrate the effectiveness of our approach. (C) 2016 Elsevier B.V. All rights reserved.
Keywords:
CP-nets
User preferences
Recommender systems
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