Yanan Xie, Liang Chen, Kunyang Jia, Lichuan Ji, Jian Wu
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iNewsBox: modeling and exploiting implicit feedback for building personalized news radio
Online news reading has become the major method to know about the world as web provide more information than other media like TV and radio. However, traditional online news reading interface is inconvenient for many types of people, especially for those who are disabled or taking a bus. This paper presents a mobile application iNewsBox enabling users to listen to news collected from the Internet. In order to simplify necessary interactions of getting valuable news, we also propose a framework for using implicit feedback to recommend news in this paper. Experiment shows our algorithms in iNewsBox are effective.
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