Abstract
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).
Users
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