Design And Research Of Intelligent Recommendation System For IPTV

With the development of information technology and the Internet, people gradually goes from the era of information scarcity into the era of information overload. As a prominent representative of the new media industry(interactive network television) IPTV due to the humanization of the interactive and real-time experience, it gradually makes users change from backstroke viewing habits into leaning forward viewing habits. As a practitioner of IPTV, how to effectively use the results of big data analysis makes the information in the platform to come to the fore and attract to the user’s attention; how to use the information from a large number of information provides users with high quality of personalized service, has been the main direction of the efforts of this paperThis paper deeply analyzes the application platform of intelligent recommendation in new media environment. Through the research on the product ratings data, user behavior data and the data of the IPTV platform, this paper discusses the innovative design and implementation of the intelligent recommendation system.Firstly, the structure of intelligent recommendation data is proposed, which uses the search engine to quickly respond to the client’s search request to achieve the user’s search service for the program, the back, the entrance and the information related. After the analysis of the most important user ratings of the platform, it uses SSIS to design data acquisition program and the data processing; and the application of ASP.NET technology, then it presents the analyze the results of the analysis with the web pages, which is conducive to the implementation of the recommendation system. At last, intelligently to the user in the end through a variety of algorithms model, and solve the problem of cold start recommendation system.The correctness and effectiveness of the design are verified by the application of the actual business environment. The research results of this paper provide accurate data analysis for the management layer of IPTV platform, provide the management decision the full data support, and provide a strong support for the user high quality personalized service.