Preference recommendation for personalized search

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.