Zhaowen Tao

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Recommender system is one of the most effective technologies to deal with information overload, which has been used in a lot of business systems. Historically, many recommender systems take much focus on prediction accuracy. However, despite their pretty accuracy, they may not be useful to users. A user's preference is full of uncertainty, including(More)
Personalized search based on the users' preference has been extensively studied in the field of information retrieval. As a typical representative of web2.0, social tagging not only allows users to better describe and manage web resources, but also provides a great opportunity for the personalized search research, since it contains abundant public personal(More)
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