Name
Abstract | ||
|---|---|---|
Existing studies on music recommendation systems pose the problem of being incapable of proposing proper recommendations according to user conditions due to limited metadata obtained from users using a content-based filtering method. Although some studies have been conducted in recent years on recommendation systems employing a great amount of environmental information, they have been unable to satisfy information requested by the user. Thus, this study defines context information required to select music and proposes a hybrid filtering method that exploits a content-based filtering and collaborative filtering method in ubiquitous environments. In addition, this study developed a music recommendation system based on these filtering methods which significantly improved user satisfaction for music selection. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11908029_82 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
limited metadata,great amount,user condition,context information,music selection,recommendation system,music recommendation system,improved user satisfaction,ubiquitous computing environment,hybrid music,environmental information,proper recommendation,mobile computing,ubiquitous computing,music,satisfiability,metadata,content management,collaborative filtering,rough set theory,filtering,recommender system,pervasive computing | Recommender system,Mobile computing,Metadata,Data mining,Collaborative filtering,Information retrieval,Computer science,Filter (signal processing),Ubiquitous computing,Content management,Information filtering system | Conference |
Volume | ISSN | ISBN |
4259 | 0302-9743 | 3-540-47693-8 |
Citations | PageRank | References |
1 | 0.37 | 11 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jong-Hun Kim | 1 | 262 | 20.58 |
| Kyung-Yong Jung | 2 | 63 | 7.86 |
| Jung-Hyun Lee | 3 | 87 | 9.77 |