文章基本信息

标题：Exploiting Social Contexts for Movie Recommendation
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作者：Xuan Hau Pham ; Jason J. Jung ; Le Anh Vu 等
期刊名称：Malaysian Journal of Computer Science
印刷版ISSN：0127-9084
出版年度：2014
卷号：27
期号：1
出版社：University of Malaya * Faculty of Computer Science and Information Technology
摘要：A social networking service (SNS) allows users to share information with family, friends, and communities. Since there are many kinds of information uploaded and shared through an SNS, the amount of information on such siteskeeps increasing exponentially. In particular, Facebook has adopted some interesting features related to entertainment (e.g., movies, music, and TV shows). However, they do not consider contextual information of users for recommendations(e.g., time, location, and social context). Therefore, in this paper, we propose a novel approach for movie recommendations based on the integration ofa variety ofcontextual information (i.e., when the users watched the movies, where the users watched the movies, and who watched the movie with them). Thus, we developed a Facebook application (called MyMovieHistory) for recording the movie history of users and recommending relevant movies.
关键词：Recommendation Systems; Social Contexts; Facebook; User History; Timeline