The Design And Implemendation Of Recommendation System In The Streaming Projection

As a national public cultural service system,digital film public welfare streaming projection system is playing a pivotal role.The consistency of the final screening of the film and the viewing tastes of the screening team service area has a great influence on the quality of service of rural public culture.By appling the film recommended technology,we can analyze theatre chains information,screening team information,film information,and order information,and recommend the films for theaters,so as to enhance the people's viewing interest effectively.In order to improve the quality of service of rural culture,this paper has designed and implemented a recommendation system of streaming business.Specifically,the work we have done in this paper are as follows:The film information system has been designed and implemented for the management of the current film data.The system can achieve many functions,such as single film information collection,film information bulk upload,film basic information query,film technology information query,expired film information deletion,film information modification,film technology information statistics,film genre statistics,film language statistics,personal Information modification and so on.Standardized film information management has ensured the smooth development of the digital film streaming business,and provided the film data source for the recommended analysis in the follow-up film recommendations.Considering the complicated characteristics of streaming business,this paper has designed and implemented a newly hybrid recommendation algorithm.First,this paper has used collaborative filtering algorithm based on users for similar user computing,filtered the low similarity users.Then the association rule algorithm and the Slope One algorithm has been weighted,and the association rule algorithm can fully exploit the order rule,and the Slope One algorithm can fully exploit the similarity of the user.The combination of these two algorithms takes the characteristics of streaming business into account fully,thus ensured a better recommendation quality of service.According to the designed hybrid recommendation algorithm,based on the LAMP development environment,this paper has realized a film recommendation system with B/S three-tier architecture,including the Web layer,business logic layer,system support layer,and a film recommendation system with C/S three-tier architecture,including mobile terminals,business logic layer,system support layer.The theatre chains can realize many functions,such as film information query,access to popular recommendation results,access to personalized recommendation results,film subscription jump and so on.The projectors can achieve many functions,such as film information query,access to popular film recommendation results,access to personalized film recommendation results,film ratings and so on.Finally,by using the film subscription data on trading platform,this paper has completed the test and analysis of film recommendation.By calculating the precision rate of various types of films,this paper has tested the accuracy of film recommendation system.The test showed that the designed recommendation algorithm in this paper has fully considered the complex characteristics of digital film streaming business,and made a good recommendation effect.By mining the order rules and user similarity,this system has ensured the accuracy of the film recommendation better,and enhanced the quality of service of digital film streaming business.