Abstract
This paper presents an interactive movie recommender system for constructing an intelligent home network system. The proposed model is based on a group-aware social trust management, one of the new paradigms for personalized recommendation. In this paper, we show the concept model of group-aware social networks for the proposal and a prototype implementation.
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Acknowledgments
This research was supported by the IT R&D Program of MKE/KEIT [10035708, “The Development of CPS (Cyber-Physical Systems) Core Technologies for High Confidential Autonomic Control Software”].
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Kim, M., Jeong, YS., Park, J.H., Park, S.O. (2011). Group-Aware Social Trust Management for a Movie Recommender System. In: Park, J., Arabnia, H., Chang, HB., Shon, T. (eds) IT Convergence and Services. Lecture Notes in Electrical Engineering, vol 107. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2598-0_52
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DOI: https://doi.org/10.1007/978-94-007-2598-0_52
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