@inproceedings{27bf436c938543a4b6cf395138535bfc,
title = "Behaviors-based user profiling and classification-based content rating for personalized digital TV",
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.",
author = "Hyoseop Shin and Na, {Yeon Kim} and Enu, {Yi Kim} and Minsoo Lee",
year = "2008",
doi = "10.1109/ICCE.2008.4588111",
language = "English",
isbn = "142441458X",
series = "Digest of Technical Papers - IEEE International Conference on Consumer Electronics",
booktitle = "2008 Digest of Technical Papers International Conference on Consumer Electronics, The Mobile Consumer, ICCE 2008",
note = "null ; Conference date: 09-01-2008 Through 13-01-2008",
}