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Context-Aware Systems and Applications. Second International Conference, ICCASA 2013, Phu Quoc Island, Vietnam, November 25-26, 2013, Revised Selected Papers

Research Article

Social Context-Based Movie Recommendation: A Case Study on MyMovieHistory

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  • @INPROCEEDINGS{10.1007/978-3-319-05939-6_33,
        author={Yong Lee and Xuan Pham and Duc Trung and Jason Jung and Hien Nguyen},
        title={Social Context-Based Movie Recommendation: A Case Study on MyMovieHistory},
        proceedings={Context-Aware Systems and Applications. Second International Conference, ICCASA 2013, Phu Quoc Island, Vietnam, November 25-26, 2013, Revised Selected Papers},
        proceedings_a={ICCASA},
        year={2014},
        month={6},
        keywords={Recommendation systems Social contexts Facebook User history Timeline},
        doi={10.1007/978-3-319-05939-6_33}
    }
    
  • Yong Lee
    Xuan Pham
    Duc Trung
    Jason Jung
    Hien Nguyen
    Year: 2014
    Social Context-Based Movie Recommendation: A Case Study on MyMovieHistory
    ICCASA
    Springer
    DOI: 10.1007/978-3-319-05939-6_33
Yong Lee1,*, Xuan Pham1,*, Duc Trung1,*, Jason Jung1,*, Hien Nguyen2,*
  • 1: Yeungnam University
  • 2: Ton Duc Thang University
*Contact email: lceose@gmail.com, pxhauqbu@gmail.com, duc.nguyentrung@gmail.com, j2jung@gmail.com, hien@tdt.edu.vn

Abstract

Social networking services (in short, SNS) allow users to share their own data with family, friends, and communities. Since there are many kinds of information that has been uploaded and shared through the SNS, the amount of information on the SNS keeps increasing exponentially. Particularly, Facebook has adopted some interesting features related to entertainment (e.g., movie, music and TV show). However, they do not consider contextual information of users for recommendation (e.g., time, location, and social contexts). Therefore, in this paper, we propose a novel approach for movie recommendation based on the integration of a variety contextual 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.

Keywords
Recommendation systems Social contexts Facebook User history Timeline
Published
2014-06-19
http://dx.doi.org/10.1007/978-3-319-05939-6_33
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