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A Study of IPTV-VOD Program Recommendation System Using Hybrid Filtering  

Kang, Yong-Jin (Dept. of Computer Science, Dankook University)
Sun, Chul-Yong (Dept. of Computer Science, Dankook University)
Park, Kyu-Sik (Division of Computer Science & Engineering, Dankook University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.47, no.4, 2010 , pp. 9-19 More about this Journal
Abstract
In this paper, a new program recommendation system is proposed to recommend user preferred VOD program in IPTV environment. A proposed system is implemented with hybrid filtering method that can cooperatively complements the shortcomings of the content-based filtering and collaborative filtering. For a user program preference, a single-scaled measure is designed so that the recommendation performance between content-based filtering and collaborative filtering is easily compared and reflected to final hybrid filtering procedure. In order to provide more accurate program recommendation, we use not only the user watching history, but also the user program preference and sub-genre program preference updated every week as a user preference profile. System performance is evaluated with modified IPTV data from real 24-weeks cable TV watching data provided by Nilson Research Corp. and it shows quite comparative quality of recommendation.
Keywords
IPTV; Recommendation System; Hybrid Filtering; Content-Based Filtering; Collaborative Filtering;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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