The Journal of Machine Learning Research
Google news personalization: scalable online collaborative filtering
Proceedings of the 16th international conference on World Wide Web
Personalized news recommendation based on click behavior
Proceedings of the 15th international conference on Intelligent user interfaces
An exploration of improving collaborative recommender systems via user-item subgroups
Proceedings of the 21st international conference on World Wide Web
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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.