Movie Recommendation Service Based on Preference Correlation Coefficient of Audience in Smart Environment

Songai Xuan, DoHyeun Kim

Abstract


Recommendation system has been more and more popular recent years. It can help people make decisions easily, and is used in many popular applications include movies, music, news, books, research articles, search queries, social tags, and products in general. Smart homes also get enormous attention in the last decade, due to the important applications like health, energy and security. Different techniques and approaches have been devised by the researchers to make the smart home more efficient and effective. In this paper, we propose the movie recommendation service based on preference correlation coefficient of audience in smart environment, which will lead to the entertainment convenient in smart environment.

Keywords


Smart Home; Movie Recommendation; Correlation Coefficient

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References


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DOI: http://dx.doi.org/10.18517/ijaseit.8.4-2.5967

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Published by INSIGHT - Indonesian Society for Knowledge and Human Development