Design And Implementation Of Streaming Media Recommendation System

As the network TV platform on the multimedia content is unceasingly rich,the amount of data,expanding to the user,faced with such a rich and complex multimedia content,to pick out what you really need,is like looking for a needle in a haystack.In recent years the rise of personalized recommendation system become an important way to solve these problems.Research of video streaming media recommendation system,this system combines the development trend of video recommended in recent years,and meet the demand of the use of the broad masses of customers.Mainly USES JSP technology in the process of research on the system of study shows,in addition,the system use S2SH on the frame,through the use of the framework,in the system structure is more reasonable.System research on recommendation feature also USES the current relatively popular in the field of the collaborative filtering algorithm,the use of the algorithm,enables the video recommendation function to the realization of the right.The system adopts the SQL Server database.The system realizes the function of five modules,respectively on the basis of the functions of information management module,personal information module,the video recommendation function module,video management function module and system management function module.Through these functions,users can quickly is recommended for the video,broadcast,and management.The continuous improvement of living standard in country,make people pay more and more attention to the demand of spirit,video watching is one of them.Consider this system from the user's demand,streaming media recommendation system was designed and implemented,both on the use and research have a certain value.