A Project Report on Collaborative Filtering Based Recommendation Online Social Voting
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2019-09-07T13:16:22Z
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Abstract
ONLINE social networks (OSN), such as Facebook and Twitter, facilitate easy information sharing among friends. A user not only can share her updates, in forms of text, picture, and video, with her direct friends, but also can quickly disseminate those updates to a much larger audience of indirect friends, leveraging on the rich connectivity and global reach of popular OSNs. Many OSNs now offer the social voting function, through which a user can share with friends her opinions, e.g., like or dislike, on various subjects, ranging from user statuses, profile pictures, to games played, Manuscript received October 22, 2014; revised August 19, 2016; accepted January 24, 2017. X. Yang was with New York University, New York, NY 10003, USA. He is now with Ads Delivery and Optimization at toutiao.com, Haidian, Beijing 100086, China (e-mail: xy271@nyu.edu). C. Liang was with Alcatel-Lucent, Murray Hill, NJ 07974 USA, and also with New York University, Brooklyn, NY 11201 USA. He is now with Apple Inc., Cupertino, CA 95014 USA (e-mail: chaoliang.us@gmail.com). M. Zhao is with the Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong (e-mail: csmiaozhao@comp.polyu.edu.hk). H. Wang was with the Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong.
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Gunashree H K, 16VFSB7020, A Project Report on Collaborative Filtering Based Recommendation Online Social Voting, BCA Project Reports