Design And Realization Of Supply And Demand Balance Evaluation Subsystem For TV Program Types Based On Big Data

In recent years,with the rapid development of the radio and television industry and Internet technology,the penetration rate of smart TVs and Internet audiovisual terminals has become higher and higher,and the types of TV programs have become more and more abundant.When watching TV programs,viewers are affected by their own preferences and have different needs for different types of TV programs.Audition operators and TV stations need to evaluate the match between the current program supply and user viewing needs for a certain program type,so as to optimize the programming of the next stage.However,how to determine whether the existing types of TV programs meet the needs of viewers has become a very difficult problem.The resulting supply and demand balance evaluation of TV program types,for various program types,evaluates the matching between the current TV station and audition operators' supply of TV programs and the demand of users for viewing.In the scenario of analyzing a large number of user ratings data and program playback data,the current supply and demand evaluation method for program types has problems that need to be improved.First,the current evaluation methods lack a modeled understanding of the supply and demand of program types,and they do not fully understand the factors that affect the supply and demand of program types.Second,the current evaluation method data set uses a small sample sampling method,the processing data is of a very small order,and the accuracy of the result after extrapolating and calculating the massive data is low.In view of the above problems,based on the attributes of live programs and on-demand programs,combined with the behavior of viewers,taking program types as characteristics,adding time periods,channels and other dimensions,a TV program type supply and demand model is established,and TV program type supply and demand balance evaluation indicators and The evaluation method realizes the evaluation of the supply and demand balance evaluation index of TV program types based on the analytic hierarchy process,accurately and comprehensively evaluates the supply and demand balance of TV program types,and provides assistance to TV stations and audition operators in programming of channels and time periods.The dissertation implements a large-data-based TV program type supply-demand balance evaluation subsystem,which is applied in a national-level big data analysis environment with good results.