Context-aware mobile music recommendation for daily activities
Proceedings of the 20th ACM international conference on Multimedia
Leveraging biosignal and collaborative filtering for context-aware recommendation
Proceedings of the 1st ACM international workshop on Multimedia indexing and information retrieval for healthcare
The neglected user in music information retrieval research
Journal of Intelligent Information Systems
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In this paper, we present a new user heartbeat and preference aware music recommendation system. The system can not only recommend a music playlist based on the user’s music preference but also the music playlist is generated based on the user’s heartbeat. If the user’s heartbeat is higher than the normal heartbeat which is 60-100 beats per minutes (age 18 and over) or 70-100 beats per minutes (age 6-18), the system generates a user preferred music playlist using Markov decision process to transfer the user’s heartbeat back to the normal range with the minimum time cost; if the user’s heartbeat is normal, the system generates a user preferred music playlist to keep the user’s heartbeat within the normal range; If the user’s heartbeat is lower than thenormal heartbeat, the system generates a user preferred music playlist using Markov decision process to uplift the user’s heartbeat back to the normal range with the minimum time cost.