Please use this identifier to cite or link to this item: 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
Source: 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
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