Radio and television program making system and method

Abstract

The invention provides a radio and television program making system and method. The radio and television program making system comprises an input unit, a program database, a viewing database, a viewing space construction unit, a radio and television community division unit, a program making unit and a program sending unit, wherein the input unit is used for inputting parameters required for determining viewing preferences, and generating parameter call instructions; the program database is used for storing program broadcasting information into data sources and receiving the call instructions of the input unit to call out the data sources designated by the parameters; the viewing database is used for acquiring program viewing information of users by virtue of set-top box viewing signals, storing the program viewing information into data sources, and receiving the call instructions of the input unit to call out the data sources designated by the parameters; the viewing space construction unit is used for receiving the data sources to construct two-dimensional viewing space based on space adjacent information and program attribute characteristics; the radio and television community division unit is used for dividing the users in the viewing space so as to obtain radio and television communities of various program types; the program making unit is used for making and storing programs which conform to the viewing preferences; the program sending unit is used for sending the programs to the users. According to the radio and television program making system, the two-dimensional space is constructed, so that the radio and television users can be accurately grouped.

Description

technical field [0001] The present invention relates to the field of radio and television, and more specifically, to a system and method for formulating a radio and television program list that meets the viewing preferences of radio and television users. Background technique [0002] With the development of the radio and television industry and the continuous enrichment of TV resources, users have formed different program type preferences during the viewing process. By analyzing the viewing behavior of users, grouping the viewing users, finding the user group with the same viewing habits, that is, the radio and TV community, and recommending the personalized programs in line with the community to the viewing users, it has become one of the focuses of the research of the radio and television industry. . [0003] The existing radio and television community divisions only use simple radio and television attribute and characteristic indicators, such as dividing according to the...

AI Technical Summary

Problems solved by technology

The traditional Gaussian kernel parameter σ requires empirical assumptions. Applying the spectral clustering method based on the traditional Gaussian kernel to the field of broadcasting and television, the accuracy of the division of the broadcasting and television community is very low, so it is impossible to formulate a program list that meets the viewing preferences for broadcasting. Viewers in the TV community

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