Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이민수 | * |
dc.date.accessioned | 2016-08-28T11:08:51Z | - |
dc.date.available | 2016-08-28T11:08:51Z | - |
dc.date.issued | 2008 | * |
dc.identifier.isbn | 142441458X | * |
dc.identifier.isbn | 9781424414581 | * |
dc.identifier.issn | 0747-668X | * |
dc.identifier.other | OAK-13132 | * |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/229165 | - |
dc.description.abstract | This paper proposes a system embedded within digital TVs that aims at TV program recommendation based on descriptive metadata collected from versatile sources. The proposed system comprises a user profiling subsystem identifying user preferences and a user agent subsystem performing content rating. For intelligent implicit TV profiling, a novel scheme for observable TV user behaviors is developed based on linear regression. Furthermore, a new relation-based similarity measure is suggested to improve categorized TV program rating precision. The experimental results show that the content rating precision is enhanced enough by the proposed schemes. ©2008 IEEE. | * |
dc.language | English | * |
dc.title | Behaviors-based user profiling and classification-based content rating for personalized digital TV | * |
dc.type | Conference Paper | * |
dc.relation.index | SCOPUS | * |
dc.relation.journaltitle | Digest of Technical Papers - IEEE International Conference on Consumer Electronics | * |
dc.identifier.doi | 10.1109/ICCE.2008.4588111 | * |
dc.identifier.scopusid | 2-s2.0-51949085649 | * |
dc.author.google | Shin H. | * |
dc.author.google | Na Y.K. | * |
dc.author.google | Enu Y.K. | * |
dc.author.google | Lee M. | * |
dc.contributor.scopusid | 이민수(57195508191) | * |
dc.date.modifydate | 20240322133406 | * |