A context-A ware music recommendation system using fuzzy bayesian networks with utility theory

Han Saem Park; Ji Oh Yoo; Sung Bae Cho

doi:10.1007/11881599_121

A context-A ware music recommendation system using fuzzy bayesian networks with utility theory

Han Saem Park, Ji Oh Yoo, Sung Bae Cho

College of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

133 Citations (Scopus)

Abstract

As the World Wide Web becomes a large source of digital music, the music recommendation system has got a great demand. There are several music recommendation systems for both commercial and academic areas, which deal with the user preference as fixed. However, since the music preferred by a user may change depending on the contexts, the conventional systems have inherent problems. This paper proposes a context-aware music recommendation system (CA-MRS) that exploits the fuzzy system, Bayesian networks and the utility theory in order to recommend appropriate music with respect to the context. We have analyzed the recommendation process and performed a subjective test to show the usefulness of the proposed system.

Original language	English
Title of host publication	Fuzzy Systems and Knowledge Discovery - Third International Conference, FSKD 2006, Proceedings
Publisher	Springer Verlag
Pages	970-979
Number of pages	10
ISBN (Print)	3540459162, 9783540459163
DOIs	https://doi.org/10.1007/11881599_121
Publication status	Published - 2006
Event	3rd International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2006 - Xi'an, China Duration: 2006 Sept 24 → 2006 Sept 28

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4223 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	3rd International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2006
Country/Territory	China
City	Xi'an
Period	06/9/24 → 06/9/28

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/11881599_121

Cite this

Park, H. S., Yoo, J. O., & Cho, S. B. (2006). A context-A ware music recommendation system using fuzzy bayesian networks with utility theory. In Fuzzy Systems and Knowledge Discovery - Third International Conference, FSKD 2006, Proceedings (pp. 970-979). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4223 LNAI). Springer Verlag. https://doi.org/10.1007/11881599_121

Park, Han Saem ; Yoo, Ji Oh ; Cho, Sung Bae. / A context-A ware music recommendation system using fuzzy bayesian networks with utility theory. Fuzzy Systems and Knowledge Discovery - Third International Conference, FSKD 2006, Proceedings. Springer Verlag, 2006. pp. 970-979 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "As the World Wide Web becomes a large source of digital music, the music recommendation system has got a great demand. There are several music recommendation systems for both commercial and academic areas, which deal with the user preference as fixed. However, since the music preferred by a user may change depending on the contexts, the conventional systems have inherent problems. This paper proposes a context-aware music recommendation system (CA-MRS) that exploits the fuzzy system, Bayesian networks and the utility theory in order to recommend appropriate music with respect to the context. We have analyzed the recommendation process and performed a subjective test to show the usefulness of the proposed system.",

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Park, HS, Yoo, JO & Cho, SB 2006, A context-A ware music recommendation system using fuzzy bayesian networks with utility theory. in Fuzzy Systems and Knowledge Discovery - Third International Conference, FSKD 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4223 LNAI, Springer Verlag, pp. 970-979, 3rd International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2006, Xi'an, China, 06/9/24. https://doi.org/10.1007/11881599_121

A context-A ware music recommendation system using fuzzy bayesian networks with utility theory. / Park, Han Saem; Yoo, Ji Oh; Cho, Sung Bae.

Fuzzy Systems and Knowledge Discovery - Third International Conference, FSKD 2006, Proceedings. Springer Verlag, 2006. p. 970-979 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4223 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - As the World Wide Web becomes a large source of digital music, the music recommendation system has got a great demand. There are several music recommendation systems for both commercial and academic areas, which deal with the user preference as fixed. However, since the music preferred by a user may change depending on the contexts, the conventional systems have inherent problems. This paper proposes a context-aware music recommendation system (CA-MRS) that exploits the fuzzy system, Bayesian networks and the utility theory in order to recommend appropriate music with respect to the context. We have analyzed the recommendation process and performed a subjective test to show the usefulness of the proposed system.

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Park HS, Yoo JO, Cho SB. A context-A ware music recommendation system using fuzzy bayesian networks with utility theory. In Fuzzy Systems and Knowledge Discovery - Third International Conference, FSKD 2006, Proceedings. Springer Verlag. 2006. p. 970-979. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11881599_121

A context-A ware music recommendation system using fuzzy bayesian networks with utility theory

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