Movie recommendation service based on preference correlation coefficient of audience in smart environment

Abstract

Recommendation system has been more and more popular recent years. It can help people make decisions quickly, 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 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 proposed the movie recommendation service based on preference correlation coefficient of the audience in a smart environment, which will lead to the entertainment convenient in a smart environment. Based on our experiment results, we consider the use of the Pearson Correlation Coefficient in the recommendation service is feasible and practical.