Just-for-Me: An Adaptive Personalization System for Location-Aware Social Music Recommendation
Publication Type
Conference Proceeding Article
Publication Date
7-2014
Abstract
In recent years, location-aware music recommendation is increasing in popularity, as more and more users consume music on the move. In this demonstration, we present an intelligent system, called Just-for-Me, to facilitate accurate music recommendation based on where user presents. Our system is developed based on a novel probabilistic generative model, which can effectively integrate the location contexts and global music popularity trends. This approach allows us to gain more comprehensive modeling on user preference and thus significantly enhances the music recommendation performance.
Discipline
Databases and Information Systems
Publication
SIGIR '14: Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval: July 6-11, 2014, Gold Coast, Australia
First Page
1267
Last Page
1268
ISBN
9781450322577
Identifier
10.1145/2600428.2611187
Publisher
ACM
City or Country
New York
Citation
Cheng, Zhiyong; SHEN, Jialie; and Mei, Tao.
Just-for-Me: An Adaptive Personalization System for Location-Aware Social Music Recommendation. (2014). SIGIR '14: Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval: July 6-11, 2014, Gold Coast, Australia. 1267-1268.
Available at: https://ink.library.smu.edu.sg/sis_research/2491
Additional URL
http://dx.doi.org/10.1145/2600428.2611187