Content-based Filtering Movie Recommender System Using Semantic Approach with Recurrent Neural Network Classification and SGD
Adinda Arwa Salsabil,
Erwin Budi Setiawan,
Isman Kurniawan
Abstract:The application of recommendation systems has been applied in various types of platforms, especially applications for watching movies such as Netflix and Disney+. The recommendation system is purposed to make it easier for users, especially in choosing a movie because currently the number of movie productions is increasing every day. This research proposed a CBF movie recommendation system by comparing the performance of several semantic methods to be able to get the best rating prediction results. In order to… Show more
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