Design of Ubiquitous Music Recommendation System Using MHMM

被引：0

作者：

Kim, Jong-Hun ^{[1
]}

Jung, Kyung-Yong ^{[2
]}

Ryu, Joong-Kyung ^{[3
]}

Kang, Un-Gu ^{[4
]}

Lee, Jung-Hyun ^{[1
]}

机构：

[1] Inha Univ, Dept Comp Sci Engn, Inchon, South Korea

[2] SANGJII Univ, Sch Comp & Informat Engn, Kangwon, South Korea

[3] DAELIM Coll, Dept Comp Sci, Anyang, South Korea

[4] GACHON Univ, Dept Informat Technol, Inchon, South Korea

来源：

NCM 2008: 4TH INTERNATIONAL CONFERENCE ON NETWORKED COMPUTING AND ADVANCED INFORMATION MANAGEMENT, VOL 2, PROCEEDINGS | 2008年

关键词：

D O I：

10.1109/NCM.2008.204

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The existing music search and recommendation systems obtain results through query or answer and recommend music using data mining techniques. However, it is not possible to provide active services that satisfy customers in smart home environments because these systems consider only static information in web environments. In order to solve these problems, this paper attempts to define context information to use select music and design a ubiquitous music recommendation system that is suited to a user's interests and preferences using Hidden Markov Model for music items. The recommendation system used in this study uses an OSGi framework to recognize context information and increase satisfaction of service.

引用

页码：369 / +

页数：2

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