Design And Implementation Of Audience Rating Analyzing And Predicting System Of New Media Broadcasting Platform

With ceaseless expansion,new media broadcasting platforms have paid more and more attention to audience rating statistics data in order to confirm advertisement prices in different channels and periods and evaluate program types,etc.Data plays an important role in help ing the platforms and their advertisem ent clients select media,channels,program types and periods.Neve rtheless,the audience rating survey of traditional new m edia broadcasting platforms is far fro m perfection.Meanwhile,prediction cannot be implemented scientifically and rationally.By virtue of an au dience rating analyzing and predicting system for new m edia broadcasting platforms,collection and transmission of information become quicker;the information can be uploaded to a data base soon.During design of the audience rating analyzing and predicting system for new m edia broadcasting platforms,functional modules of the system were summarized explicitly according to demand analysis and the designers' experience;then,corresponding structural design and overall design were conducted to the syst em through relevant integration.During research and development of the system,five functional m odules including an audience rating analysis module,an audience rating prediction module,a system data input module and a system maintenance module were developed through data excavation,J2 EE technologies and B/S architecture according to principal component analysis and pluralistic re gression theories.SQL Server 2012 was selected as the system database.By virtue of core functi ons of AJAX technology,data of the server was connected and processed quickly.After the processing,the data is uploaded to the Webservice to under go more precise processi ng.Therefore,the working ef ficiency increases,and data pro cessing functions are improved.Aim ing at the accuracy of audience rating data analys is of new m edia broadcasting platforms,functions and performance of the system were tested.T esting results indicate that functions of the system can satisfy demands of actual appli cations,and guarantee high accuracy of data analysis and prediction.The audience rating analyzing and predicting system for new media broadcasting platforms designed in this paper has more c oncise functions and can better satisfy the new-ear network media in actual applications.Hence,it plays a very important role in prediction and analysis of audience rating.D uring design and realization of the audience rating analyzing and predicti ng system for new m edia broadcasting platforms,the paper adopted the curren t mainstream design ideas and design principles.The paper expects that the design idea can benefit developers and users of subsequent audience rating analyzing and predicting system s for new m edia broadcasting platforms..