期刊论文详细信息
Malaysian Journal of Computer Science
Exploiting Social Contexts for Movie Recommendation
Xuan Hau Pham1  Jason J. Jung1  Le Anh Vu1  Seung-Bo Park1 
关键词: Recommendation Systems;    Social Contexts;    Facebook;    User History;    Timeline;   
DOI  :  
学科分类:社会科学、人文和艺术(综合)
来源: University of Malaya * Faculty of Computer Science and Information Technology
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【 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 onsuch siteskeeps increasing exponentially. In particular, Facebook has adopted some interesting features relatedto entertainment (e.g., movies, music, and TV shows). However, they do not consider contextual information ofusers for recommendations(e.g., time, location, and social context). Therefore, in this paper, we propose a novelapproach for movie recommendations based on the integration ofa variety ofcontextual information (i.e., whenthe 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 andrecommending relevant movies.

【 授权许可】

Unknown   

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