Just-for-Me: An Adaptive Personalization System for Location-Aware Social Music Recommendation
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 dev...
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sg-smu-ink.sis_research-34902015-11-15T15:25:41Z Just-for-Me: An Adaptive Personalization System for Location-Aware Social Music Recommendation Cheng, Zhiyong SHEN, Jialie Mei, Tao 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. 2014-07-01T07:00:00Z text https://ink.library.smu.edu.sg/sis_research/2491 info:doi/10.1145/2600428.2611187 http://dx.doi.org/10.1145/2600428.2611187 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems |
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Databases and Information Systems Cheng, Zhiyong SHEN, Jialie Mei, Tao Just-for-Me: An Adaptive Personalization System for Location-Aware Social Music Recommendation |
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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. |
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text |
author |
Cheng, Zhiyong SHEN, Jialie Mei, Tao |
author_facet |
Cheng, Zhiyong SHEN, Jialie Mei, Tao |
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Cheng, Zhiyong |
title |
Just-for-Me: An Adaptive Personalization System for Location-Aware Social Music Recommendation |
title_short |
Just-for-Me: An Adaptive Personalization System for Location-Aware Social Music Recommendation |
title_full |
Just-for-Me: An Adaptive Personalization System for Location-Aware Social Music Recommendation |
title_fullStr |
Just-for-Me: An Adaptive Personalization System for Location-Aware Social Music Recommendation |
title_full_unstemmed |
Just-for-Me: An Adaptive Personalization System for Location-Aware Social Music Recommendation |
title_sort |
just-for-me: an adaptive personalization system for location-aware social music recommendation |
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Institutional Knowledge at Singapore Management University |
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2014 |
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https://ink.library.smu.edu.sg/sis_research/2491 http://dx.doi.org/10.1145/2600428.2611187 |
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