This research focuses on the development of a customized program recommending system for digital television. The system utilizes a program information recording module, a program information analyzing module, and a program recommending module to deliver tailored program suggestions to users. The program information recording module records user's program watching data, while the program information analyzing module analyzes the user's watching records to identify their preferred program content. The program recommending module forecasts the next playtime of preferred programs and recommends similar programs to the user. By excavating user preferences and providing customized recommendations, the system addresses the current limitations in discovering customized requirements of digital television users and offering tailored digital television services.

Digital television, customized programs, program recommendation, user preferences, program information analysis.