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Community-based Program Recommendation for the Next Generation Electronic Program Guide
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AI
DOI：10.1109/TCE.2009.5174443.png)
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摘要
En 中文
With the popularization of digital TV and Internet Protocol TV (IPTV), more digital programs are being produced. In order to find the programs users want to watch, it is sometimes difficult and time-consuming for them to read the programs' information provided by Electronic Program Guide (EPG). Therefore, the next generation EPG composed of content search, content recommendation, and content management is expected to help users quickly, and easily find programs they are interested in. In content recommendation, this study proposes a Community-based Program Recommendation (CPR) for the next generation EPG. It analyzes and categorizes users with similar viewing habits into one community, then recommends programs to users to help them quickly find the programs they want to watch. The results show that this method can provide good precision and convenience to users(1).
Keyword:
Recommendation
Personalized
EPG
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期刊
IF:
10.9
论文数:
5.3K
被引数:
6.8K
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