Program label association rule analyzing system and method

Abstract

The invention provides a program label association rule analyzing system and method. The system comprises a program label collection unit, an input unit, a program label database, a program playing and watching database, a watching space construction unit and a program label association rule analyzing unit, wherein the program label collection unit is used for collecting a program name and a program label thereof; the input unit is used for inputting at least one program name, a space region and a time region, and generating a calling instruction; the program label database is used for collecting and storing the program label according to the program name and receiving the calling instruction to lead out a program label data source; the program playing and watching database is used for storing playing information and watching information of each program to form a playing and watching data source, and receiving and leading out the calling instruction; the watching space construction unit is used for receiving the data source to construct a watching space with the program label; and the program label association rule analyzing unit is used for analyzing an association rule of the program label. According to the system provided by the invention, a plurality of characteristics of television programs can be represented, data feedback is sufficient and the association rule of the program label is accurately generated.

Description

technical field [0001] The present invention relates to the field of radio and television, and more specifically, to a system and method for analyzing association rules of program tags. Background technique [0002] With the development of the radio and television industry and the continuous enrichment of TV resources, users have formed different viewing preferences during the viewing process. It has become the research focus of the radio and television industry to analyze the viewing behavior of users through the establishment of a TV program classification system. [0003] TV program classification system in the prior art such as figure 1 As shown, the traditional TV program classification is a tree structure with containment relationship. A TV program can only be classified into one type of program in the classification system, which pays too much attention to the category of the program and ignores the multiple characteristics of TV programs. It can reflect the content...

AI Technical Summary

Problems solved by technology

[0005] First, the rough classification does not reflect the content of the program. Only using the program classification system cannot obtain specific program content information, nor can it provide strong support for audience preference research on program content;

[0006] Second, the program classification system adopts a single standard, that is, when classifying a certain program, the program must be regarded as a certain subcategory in the system, which makes the multi-group features in the program be ignored, and only the user's evaluation of all the programs can be obtained. The ratings of one subcategory cannot be used as the basis for the ratings of other subcategories, and there is a shortcoming that the content of the program is simplified, which leads to inaccurate analysis of association rules

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