Design of music recommendation system using context information

Authors:
Jong-Hun Kim;Chang-Woo Song;Kee-Wook Lim;Jung-Hyun Lee
Affiliations:
Department of Computer Science & Engineering, Inha University, Incheon, Korea;Department of Computer Science & Engineering, Inha University, Incheon, Korea;Department of Knowledge Industrial Engineering, Sunmoon University, Asansi, Chungcheongnam-do, Korea;Department of Computer Science & Engineering, Inha University, Incheon, Korea
Venue:
PRIMA'06 Proceedings of the 9th Pacific Rim international conference on Agent Computing and Multi-Agent Systems
Year:
2006

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Abstract

Music recommendation systems used at the present time apply certain queries using appropriate music information or user profiles in order to obtain the desired results. However, these systems are unable to satisfy user desires because these systems only reply to the results of user queries or consider static information, such as a user’s sex and age. In order to solve these problems, this paper attempts to define context information to select music and design a music recommendation system that is suited to a user’s interests and preferences using a filtering method. The recommendation system used in this study uses an Open Service Gateway Initiative (OSGi) framework to recognize context information. Not only does this framework promote a higher user satisfaction rate for music recommendations, service quality is also improved by applying service mobility and distributed processing.