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

Hyoseop Shin, Yeon Kim Na, Yi Kim Enu, Minsoo Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publication2008 Digest of Technical Papers International Conference on Consumer Electronics, The Mobile Consumer, ICCE 2008
DOIs
StatePublished - 2008
Event26th IEEE International Conference on Consumer Electronics, The Mobile Consumer, ICCE 2008 - Las Vegas, NV, United States
Duration: 9 Jan 200813 Jan 2008

Publication series

NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN (Print)0747-668X

Conference

Conference26th IEEE International Conference on Consumer Electronics, The Mobile Consumer, ICCE 2008
Country/TerritoryUnited States
CityLas Vegas, NV
Period9/01/0813/01/08

Fingerprint

Dive into the research topics of 'Behaviors-based user profiling and classification-based content rating for personalized digital TV'. Together they form a unique fingerprint.

Cite this