Exploiting Implicit Trust and Geo-social Network for Recommendation

no code implementations • journal 2018 • Feiyang Li School of Computer Science and Technology/Suzhou Institute for Advanced Study, University of Science and Technology of China, P.R.china mmmwhy@mail.ustc.edu.cn

Abstract—Recommender system (RS) seeks to predict the rating or preference a user would give to an item, this system often relies on collaborative filtering (CF).

Collaborative Filtering Recommendation Systems

Kaleido: You Can Watch It But Cannot Record It

no code implementations • ACM 2015 • Lan Zhang1, Cheng Bo2, Jiahui Hou3, 4, Xiang-Yang Li1, 3 Yu Wang2, Kebin Liu1, Yunhao Liu1 1School of Software and TNLIST, Tsinghua University, China 2Department of Computer Science, University of North Carolina at Charlotte, USA 3Department of Computer Science, Illinois Institute of Technology, USA 4Department of Computer Science, University of Science and Technology of China, China {lan, yunhao}@greenorbs.com, {cbo1, yu.wang}@uncc.edu, {jhou11, xli}@cs.iit.edu

Recently a number of systems have been developed to implement and improve the visual communication over screen-camera links.