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• W2049229728 abstract "Existing music recommendation systems rely on collaborative filtering or content-based technologies to satisfy users' long-term music playing needs. Given the popularity of mobile music devices with rich sensing and wireless communication capabilities, we present in this paper a novel approach to employ contextual information collected with mobile devices for satisfying users' short-term music playing needs. We present a probabilistic model to integrate contextual information with music content analysis to offer music recommendation for daily activities, and we present a prototype implementation of the model. Finally, we present evaluation results demonstrating good accuracy and usability of the model and prototype." @default.
• W2049229728 created "2016-06-24" @default.
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• W2049229728 date "2012-10-29" @default.
• W2049229728 modified "2023-09-27" @default.
• W2049229728 title "Context-aware mobile music recommendation for daily activities" @default.
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• W2049229728 doi "https://doi.org/10.1145/2393347.2393368" @default.
• W2049229728 hasPublicationYear "2012" @default.
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