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Personalized EPG Application using Automatic User Preference Learning Method  

Lim Jeongyeon (School of Engineering Information and Communications Univ. (ICU))
Jeong Hyun (School of Engineering Information and Communications Univ. (ICU))
Kim Munchurl (Information Engineeing, Department of Computer Suwon Univ.)
Kang Sanggil (School of Engineering Information and Communications Univ. (ICU))
Kang Kyeongok (Broadcting Media Research Department Electronics and Telecommunication Research Institute)
Publication Information
Journal of Broadcast Engineering / v.9, no.4, 2004 , pp. 305-321 More about this Journal
Abstract
With the advent of the digital broadcasting, the audiences can access a large number of TV programs and their information through the multiple channels on various media devices. The access to a large number of TV programs can support a user for many chances with which he/she can sort and select the best one of them. However, the information overload on the user inevitably requires much effort with a lot of patience for finding his/her favorite programs. Therefore, it is useful to provide the persona1ized broadcasting service which assists the user to automatically find his/her favorite programs. As the growing requirements of the TV personalization, we introduce our automatic user preference learning algorithm which 1) analyzes a user's usage history on TV program contents: 2) extracts the user's watching pattern depending on a specific time and day and shows our automatic TV program recommendation system using MPEG-7 MDS (Multimedia Description Scheme: ISO/IEC 15938-5) and 3) automatically calculates the user's preference. For our experimental results, we have used TV audiences' watching history with the ages, genders and viewing times obtained from AC Nielson Korea. From our experimental results, we observed that our proposed algorithm of the automatic user preference learning algorithm based on the Bayesian network can effectively learn the user's preferences accordingly during the course of TV watching periods.
Keywords
Personalized EPG; User Preference; MPEG-7 MDS;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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