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View all- Liu J(2025)Aggregating Contextual Information for Multi-Criteria Online Music RecommendationsIEEE Access10.1109/ACCESS.2025.352751213(8790-8805)Online publication date: 2025
Music recommendation systems have been widely used to suggest songs to users based on their listening history or interests. Traditionally, most recommender systems have focused on prediction accuracy without considering user experience (UX) in ...
In this paper, we present a music recommendation system, which provides a personalized service of music recommendation. The polyphonic music objects of MIDI format are first analyzed for deriving information for music grouping. For this purpose, the ...
In this paper, we present a Web recommender system for recommending, predicting and personalizing music playlists based on a user model. We have developed a hybrid similarity matching method that combines collaborative filtering with ontology-based ...
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