Design And Implementation Of Cable Video VOD Recommendation System

With development of the digital television technology,, the cable television carrier in Shanghai has successfully released the VOD (Video on Demand) business for bidirectional cable STB (Set-Top Box) market in three years, and the number of active users has reached more than200thousand. However, the IPTV (Internet Protocol Television) market share in the whole digital TV market is getting bigger, and the cable television carrier is considering that how to upgrade the competition ability of this VOD business and the user experience for increasing the viscosity of users and the market share, the cable television carrier could get the advantage in the competition with the IPTV carriers。Within this circumstance, the cable television carrier proposes to build a cable VOD recommender system.Nowadays, the technology of data mining is spread widely in different business areas, such as health care industry, bank industry, aviation industry etc., and it becomes the key technology in the shopping website and video website of the internet area. Based on the technology of data mining, combined with the real request of the cable television carrier, the detail design of cable VOD recommender system has been processed. By the detail analysis of the VOD system the cable television carrier has built, a recommender system based on data mining technology has been constructed. In addition, via the combination of the movie data in VOD system and movie data from famous movie SNS (Social Network Site) website DOUBAN, the recommender system realized preprocess of movie data from these two sources, computation and result show of movie recommendation. This recommender system is very meaningful for the cable television carrier in the building of cable STB value-added business.