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

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

doi:10.1109/ICCE.2008.4588111

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

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

Computer Science & Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	2008 Digest of Technical Papers International Conference on Consumer Electronics, The Mobile Consumer, ICCE 2008
DOIs	https://doi.org/10.1109/ICCE.2008.4588111
State	Published - 2008
Event	26th IEEE International Conference on Consumer Electronics, The Mobile Consumer, ICCE 2008 - Las Vegas, NV, United States Duration: 9 Jan 2008 → 13 Jan 2008

Publication series

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

Conference

Conference	26th IEEE International Conference on Consumer Electronics, The Mobile Consumer, ICCE 2008
Country/Territory	United States
City	Las Vegas, NV
Period	9/01/08 → 13/01/08

Access to Document

10.1109/ICCE.2008.4588111

Cite this

Shin, H., Na, Y. K., Enu, Y. K., & Lee, M. (2008). Behaviors-based user profiling and classification-based content rating for personalized digital TV. In 2008 Digest of Technical Papers International Conference on Consumer Electronics, The Mobile Consumer, ICCE 2008 Article 4588111 (Digest of Technical Papers - IEEE International Conference on Consumer Electronics). https://doi.org/10.1109/ICCE.2008.4588111

@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 = "26th IEEE International Conference on Consumer Electronics, The Mobile Consumer, ICCE 2008 ; Conference date: 09-01-2008 Through 13-01-2008",

}

Shin, H, Na, YK, Enu, YK & Lee, M 2008, Behaviors-based user profiling and classification-based content rating for personalized digital TV. in 2008 Digest of Technical Papers International Conference on Consumer Electronics, The Mobile Consumer, ICCE 2008., 4588111, Digest of Technical Papers - IEEE International Conference on Consumer Electronics, 26th IEEE International Conference on Consumer Electronics, The Mobile Consumer, ICCE 2008, Las Vegas, NV, United States, 9/01/08. https://doi.org/10.1109/ICCE.2008.4588111

Behaviors-based user profiling and classification-based content rating for personalized digital TV. / Shin, Hyoseop; Na, Yeon Kim; Enu, Yi Kim et al.
2008 Digest of Technical Papers International Conference on Consumer Electronics, The Mobile Consumer, ICCE 2008. 2008. 4588111 (Digest of Technical Papers - IEEE International Conference on Consumer Electronics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Behaviors-based user profiling and classification-based content rating for personalized digital TV

AU - Shin, Hyoseop

AU - Na, Yeon Kim

AU - Enu, Yi Kim

AU - Lee, Minsoo

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=51949085649&partnerID=8YFLogxK

U2 - 10.1109/ICCE.2008.4588111

DO - 10.1109/ICCE.2008.4588111

M3 - Conference contribution

AN - SCOPUS:51949085649

SN - 142441458X

SN - 9781424414581

T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics

BT - 2008 Digest of Technical Papers International Conference on Consumer Electronics, The Mobile Consumer, ICCE 2008

T2 - 26th IEEE International Conference on Consumer Electronics, The Mobile Consumer, ICCE 2008

Y2 - 9 January 2008 through 13 January 2008

ER -

Shin H, Na YK, Enu YK, Lee M. Behaviors-based user profiling and classification-based content rating for personalized digital TV. In 2008 Digest of Technical Papers International Conference on Consumer Electronics, The Mobile Consumer, ICCE 2008. 2008. 4588111. (Digest of Technical Papers - IEEE International Conference on Consumer Electronics). doi: 10.1109/ICCE.2008.4588111

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

Abstract

Publication series

Conference

Access to Document

Fingerprint

Cite this