Just-for-Me: An adaptive personalization system for location-aware social music recommendation

Zhiyong Cheng; Jialie Shen; Tao Mei

doi:10.1145/2600428.2611187

Just-for-Me: An adaptive personalization system for location-aware social music recommendation

Zhiyong Cheng, Jialie Shen, Tao Mei

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

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.

Original language	English
Title of host publication	SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval
Place of Publication	Gold Coast,Australia
Publisher	Association for Computing Machinery (ACM)
Pages	1267-1268
Number of pages	2
ISBN (Print)	9781450322591
DOIs	https://doi.org/10.1145/2600428.2611187
Publication status	Published - 6 Jul 2014
Externally published	Yes
Event	37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2014 - Gold Coast, QLD, Australia Duration: 6 Jul 2014 → 11 Jul 2014

Conference

Conference	37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2014
Country/Territory	Australia
City	Gold Coast, QLD
Period	6/07/14 → 11/07/14

Access to Document

10.1145/2600428.2611187

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title = "Just-for-Me: An adaptive personalization system for location-aware social music recommendation",

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.",

keywords = "Context-aware, Music recommendation, Social trends",

author = "Zhiyong Cheng and Jialie Shen and Tao Mei",

year = "2014",

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doi = "10.1145/2600428.2611187",

language = "English",

isbn = "9781450322591",

pages = "1267--1268",

booktitle = "SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

note = "37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2014 ; Conference date: 06-07-2014 Through 11-07-2014",

}

Cheng, Z, Shen, J & Mei, T 2014, Just-for-Me: An adaptive personalization system for location-aware social music recommendation. in SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery (ACM), Gold Coast,Australia, pp. 1267-1268, 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2014, Gold Coast, QLD, Australia, 6/07/14. https://doi.org/10.1145/2600428.2611187

Just-for-Me : An adaptive personalization system for location-aware social music recommendation. / Cheng, Zhiyong; Shen, Jialie; Mei, Tao.

SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval. Gold Coast,Australia : Association for Computing Machinery (ACM), 2014. p. 1267-1268.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

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AU - Shen, Jialie

AU - Mei, Tao

PY - 2014/7/6

Y1 - 2014/7/6

N2 - 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.

AB - 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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M3 - Conference Paper published in Proceedings

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BT - SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval

PB - Association for Computing Machinery (ACM)

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Y2 - 6 July 2014 through 11 July 2014

ER -

Cheng Z, Shen J, Mei T. Just-for-Me: An adaptive personalization system for location-aware social music recommendation. In SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval. Gold Coast,Australia: Association for Computing Machinery (ACM). 2014. p. 1267-1268 https://doi.org/10.1145/2600428.2611187

Just-for-Me: An adaptive personalization system for location-aware social music recommendation

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