View : 14 Download: 0

Personalized digital TV content recommendation with integration of user behavior profiling and multimodal content rating

Title
Personalized digital TV content recommendation with integration of user behavior profiling and multimodal content rating
Authors
Shin H.Lee M.Kim E.Y.
Ewha Authors
이민수
SCOPUS Author ID
이민수scopus
Issue Date
2009
Journal Title
IEEE Transactions on Consumer Electronics
ISSN
0098-3063JCR Link
Citation
vol. 55, no. 3, pp. 1417 - 1423
Indexed
SCI; SCIE; SCOPUS WOS scopus
Abstract
This paper presents the novel development of an embedded system that aims at digital TV content recommendation based on descriptive metadata collected from versatile sources. The described system comprises a user profiling subsystem identifying user preferences and a user agent subsystem performing content rating. TV content items are ranked using a combined multimodal approach integrating classification-based and keyword-based similarity predictions so that a user is presented with a limited subset of relevant content. Observable user behaviors are discussed as instrumental in user profiling and a formula is provided for implicitly estimating the degree of user appreciation of content. A new relation-based similarity measure is suggested to improve categorized content rating precision. Experimental results show that our system can recommend desired content to users with significant amount of accuracy. © 2009 IEEE.
DOI
10.1109/TCE.2009.5278008
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