View : 17 Download: 0

Behaviors-based user profiling and classification-based content rating for personalized digital TV

Title
Behaviors-based user profiling and classification-based content rating for personalized digital TV
Authors
Shin H.Na Y.K.Enu Y.K.Lee M.
Ewha Authors
이민수
SCOPUS Author ID
이민수scopus
Issue Date
2008
Journal Title
Digest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN
0747-668XJCR Link
Indexed
SCOPUS scopus
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.
DOI
10.1109/ICCE.2008.4588111
ISBN
142441458X; 9781424414581
Appears in Collections:
엘텍공과대학 > 컴퓨터공학과 > Journal papers
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE