A daily, activity-aware, mobile music recommender system

  • Authors:
  • Xinxi Wang;Ye Wang;David Rosenblum

  • Affiliations:
  • School of Computing, National University of Singapore, Singapore, Singapore;School of Computing, National University of Singapore, Singapore, Singapore;School of Computing, National University of Singapore, Singapore, Singapore

  • Venue:
  • Proceedings of the 20th ACM international conference on Multimedia
  • Year:
  • 2012

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Abstract

Existing music recommender 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 demonstrate in this demo a novel system to employ contextual information collected with mobile devices for satisfying users' short-term music playing needs. In our system, contextual information is integrated with music content analysis to offer recommendation for daily activities.