A Multimedia Recommender System Using User Playback Time

Hyeong-Joon Kwon; Dong-Keun Chung; Kwang-Seok Hong

A Multimedia Recommender System Using User Playback Time

Hyeong-Joon Kwon, Dong-Keun Chung, Kwang-Seok Hong, Journal of Internet Computing and Services, Vol. 10, No. 1, pp. 111-122, Feb. 2009
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Keywords: Recommender Systems, Association Rules, Personalization

Abstract

In this paper, we propose a multimedia recommender system using user's playback time. Proposed system collects multimedia content which is requested by user and its user‘s playback time, as web log data. The system predicts playback time.based preference level and related contents from collected transaction database by fuzzy association rule mining. Proposed method has a merit which sorts recommendation list according to preference without user’s custom preference data, and prevents a false preference. As an experimental result, we confirm that proposed system discovers useful rules and applies them to recommender system from a transaction which doesn‘t include custom preferences.

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Cite this article

[APA Style]

Kwon, H., Chung, D., & Hong, K. (2009). A Multimedia Recommender System Using User Playback Time. Journal of Internet Computing and Services, 10(1), 111-122.

[IEEE Style]

H. Kwon, D. Chung, K. Hong, "A Multimedia Recommender System Using User Playback Time," Journal of Internet Computing and Services, vol. 10, no. 1, pp. 111-122, 2009.

[ACM Style]

Hyeong-Joon Kwon, Dong-Keun Chung, and Kwang-Seok Hong. 2009. A Multimedia Recommender System Using User Playback Time. Journal of Internet Computing and Services, 10, 1, (2009), 111-122.