A smart movie recommendation system

Authors:
Sang-Ki Ko;Sang-Min Choi;Hae-Sung Eom;Jeong-Won Cha;Hyunchul Cho;Laehyum Kim;Yo-Sub Han
Affiliations:
Department of Computer Science, Yonsei University, Seoul, Republic of Korea;Department of Computer Science, Yonsei University, Seoul, Republic of Korea;Department of Computer Science, Yonsei University, Seoul, Republic of Korea;Department of Computer Engineering, Changwon National University, Changwon, Republic of Korea;Intelligence and Interaction Research Center, Seoul, Republic of Korea;Intelligence and Interaction Research Center, Seoul, Republic of Korea;Department of Computer Science, Yonsei University, Seoul, Republic of Korea
Venue:
HI'11 Proceedings of the 2011 international conference on Human interface and the management of information - Volume Part I
Year:
2011

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Abstract

We propose a movie recommendation system based on genre correlations. We modify the previous algorithm; we use a list of movies as input instead of genre combinations. We implement a new recommendation algorithm as Android application with additional functions. By combining with existing web services such as Google Movie Showtimes and Open APIs, our system can recommend movies playing in cinemas currently and show the detailed information of movies. Location-based function is also implemented. We utilize GPS information of mobile device and web service provided by Google Maps for recommending suitable cinemas for users with mobile devices.