Abstract:A large amount of music data is now available on the Internet thanks to the advent of the World Wide Web. In addition to seeking for expected music for clients, it becomes necessary to build a recommendation service. The majority of existing music recommendation systems relies on collaborative or content-based engines. However, a user's music selection is not only based on prior preferences or musical content. However, it is also reliant on the user's mood. This paper presents an mood-based music (MoodSIC) rec… Show more
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