Please use this identifier to cite or link to this item: https://doi.org/10.1145/2393347.2393368
Title: Context-aware mobile music recommendation for daily activities
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). Context-aware mobile music recommendation for daily activities. MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia : 99-108. ScholarBank@NUS Repository. https://doi.org/10.1145/2393347.2393368
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. © 2012 ACM.
Source Title: MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia
URI: http://scholarbank.nus.edu.sg/handle/10635/41529
ISBN: 9781450310895
DOI: 10.1145/2393347.2393368
Appears in Collections:Staff Publications

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