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Personalized IPTV content recommendation for social network group

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2 Author(s)
Soo-Cheol Kim ; Chung-Ang Univ., Seoul, South Korea ; Sung Kwon Kim

This paper proposes an IPTV content recommendation system that recommends TV content to the viewers by exploiting social groups in online social networks. To provide increased convenience to IPTV viewers, the proposed recommendation system automatically forms groups of users whose TV preferences are similar and predicts recommendations for such groups.

Published in:

Consumer Electronics (ICCE), 2011 IEEE International Conference on

Date of Conference:

9-12 Jan. 2011