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- W3204013880 abstract "Everyone like and enjoy watching movies. Movies have tremendous glamour and unique magic to educate, entertain, and influence the spectators to a great extent. The need is to take positive aspects from movies instead of the negative sides that may harm our society. In the current scenario, the people are more considerate on the rating points of any particular item that is available online or offline before investing money in it. Movies are also not unaffected by this fact of rating and recommendation policies. So, there is a need to implement a recommender system that can recommend a suitable movie to the viewers. In this perspective, this research work has implemented a movie recommendation system by considering the latent factor. This system is coded in Java programming language. The implemented application can be commercially used since it helps the viewers to select the movies of their own choice." @default.
- W3204013880 created "2021-10-11" @default.
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- W3204013880 date "2021-08-04" @default.
- W3204013880 modified "2023-09-23" @default.
- W3204013880 title "Analyzing the Behaviour of Java–Based Movie Recommendation System using Machine Learning" @default.
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- W3204013880 doi "https://doi.org/10.1109/icesc51422.2021.9532868" @default.
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