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Group affinity based social trust model for an intelligent movie recommender system

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Abstract

As many researchers have taken an interest in social networks with the development of the user-generated web, trust management and its application have come into the spotlight. User information that is extracted by behavior patterns and user profiles provides the essential relationship between individuals. In this paper, we propose an intelligent movie recommender system with a social trust model. The proposed system is based on a social network for analyzing social relationships between users and generated group affinity values with user profiles. In experiments, the performance of this system is evaluated with precision-recall and F-measures.

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Acknowledgement

This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education, Science and Technology (2011-0024052).

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Authors and Affiliations

  1. School of Computer Science and Engineering, Chung-Ang University, 221, Heuk Seok-dong, Dongjak-gu, Seoul, Korea

    Mucheol Kim & Sang Oh Park

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  1. Mucheol Kim
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  2. Sang Oh Park
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Correspondence to Sang Oh Park.

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Kim, M., Park, S.O. Group affinity based social trust model for an intelligent movie recommender system. Multimed Tools Appl 64, 505–516 (2013). https://doi.org/10.1007/s11042-011-0897-8

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