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https://doi.org/10.1145/2393347.2396459
Title: | A daily, activity-aware, mobile music recommender system | Authors: | Wang, X. Rosenblum, D. Wang, Y. |
Keywords: | activity classification context awareness mobile computing music recommendation sensors |
Issue Date: | 2012 | Citation: | Wang, X.,Rosenblum, D.,Wang, Y. (2012). A daily, activity-aware, mobile music recommender system. MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia : 1313-1314. ScholarBank@NUS Repository. https://doi.org/10.1145/2393347.2396459 | 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. © 2012 Authors. | Source Title: | MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia | URI: | http://scholarbank.nus.edu.sg/handle/10635/41528 | ISBN: | 9781450310895 | DOI: | 10.1145/2393347.2396459 |
Appears in Collections: | Staff Publications |
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