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http://dx.doi.org/10.3745/KIPSTD.2010.17D.6.453

Customized Digital TV System for Individuals/Communities based on Data Stream Mining  

Shin, Se-Jung (연세대학교 컴퓨터과학과)
Lee, Won-Suk (연세대학교 컴퓨터과학과)
Publication Information
The KIPS Transactions:PartD / v.17D, no.6, 2010 , pp. 453-462 More about this Journal
Abstract
The switch from analog to digital broadcast television is extended rapidly. The DTV can offer multiple programming choices, interactive capabilities and so on. Moreover, with the spread of Internet, the information exchange between the communities is increasing, too. These facts lead to the new TV service environment which can offer customized TV programs to personal/community users. This paper proposes a 'Customized Digital TV System for Individuals/Communities based on Data Stream Mining' which can analyze user's pattern of TV watching behavior. Due to the characteristics of TV program data stream and EPG(electronic program guide), the data stream mining methods are employed in the proposed system. When a user is watching DTV, the proposed system can control the surrounding circumstances as using the user behavior profiles. Furthermore, the channel recommendation system on the smart phone environment is proposed to utilize the profiles widely.
Keywords
Data Stream Mining; DTV; Personalization System;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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