Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/NCM.2008.204 | NCM (2) |
Keywords | Field | DocType |
existing music search,ubiquitous music recommendation system design,human factors,context-aware,context information,web environment,music,information filtering,static information,music search system,osgi,recommendation system,smart home environment,content-based filtering,ubiquitous computing,ubiquitous music recommendation system,information filters,music item,customer satisfaction,hidden markov model,data mining,osgi middleware framework,middleware,user interest,active service,osgi framework,hidden markov models,content-based retrieval,select music,satisfiability,filtering,recommender system,context modeling,meteorology,sensors,smart home | Middleware,Recommender system,World Wide Web,Customer satisfaction,Computer science,Context model,Home automation,Content based retrieval,Ubiquitous computing,Hidden Markov model | Conference |
Volume | ISBN | Citations |
2 | 978-0-7695-3322-3 | 1 |
PageRank | References | Authors |
0.34 | 9 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jong-Hun Kim | 1 | 262 | 20.58 |
| Kyung-Yong Jung | 2 | 63 | 7.86 |
| Joong-Kyung Ryu | 3 | 37 | 4.95 |
| Un-Gu Kang | 4 | 34 | 5.48 |
| Jung-Hyun Lee | 5 | 188 | 23.59 |