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Program guide formulating system and method

A program list and program technology, applied in image communication, selective content distribution, electrical components, etc., can solve problems such as inability to cluster mining, high clustering dimensions, and inability to reflect users' personalized preferences, reducing computing consumption, The effect of reducing the distance dimension

Active Publication Date: 2015-05-06
COMMUNICATION UNIVERSITY OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The most direct program ratings data is difficult to calculate user distance, so cluster mining cannot be performed directly
The existing clustering technology in the field of radio and television uses the program as the attribute of the user for the distance calculation in the clustering algorithm, but when the number of programs increases, the dimension in the calculation also increases. When clustering a large number of program viewing records , the clustering dimension is too high
In addition, existing radio and television user grouping methods usually use a single program viewing index as user attributes for distance calculation in clustering algorithms, such as ratings, viewing duration, or viewing times as user attributes, and ratings are calculated by The ratings index calculated from the macro ratings of the overall audience cannot reflect the user's personalized preferences. If the ratings are used to push the program list to the user, the pushed programs will be occupied by a few programs with higher ratings, and it is also impossible to target Push according to the user's preference; if the viewing time is used as an indicator to determine the user's preference, programs with a long broadcast time will have a longer viewing time than programs with a short broadcast time, and the push results will be biased towards programs with a longer broadcast time ; If the number of viewing times is used as an indicator to determine the user's preference, the user's preference for a program with a low viewing frequency but a large number of appearances (such as an advertisement) is higher than that of a program with a small number of appearances but a high viewing frequency
In short, using a single program rating index to use cluster analysis to classify radio and television users has low accuracy, and cannot fully and accurately determine users' viewing preferences

Method used

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Embodiment Construction

[0021] In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of one or more embodiments. It may be evident, however, that these embodiments may be practiced without these specific details. Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0022] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0023] figure 2 It is a block diagram of the program list formulation system of the present invention, such as figure 2 As shown, the label device of the present invention includes:

[0024] The program label acquisition unit 100 is used to collect the program name and its program label from the database or website storing program information, wherein the program label is a multi-angle summary of the content of the TV program, and each pr...

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Abstract

The invention provides program guide formulating system and method. The system comprises a program label acquiring unit for acquiring program names and program labels, an inputting unit for inputting at least one program name, a space domain and a time domain as well as generating a call instruction, a program label database for summarizing and storing the program labels according to the program names, receiving the call instruction and exporting a program label data source, a program playing and rating data database for storing the program playing information and viewing information into the playing and rating data source, receiving the call instruction and exporting the call instruction, a rating space construction unit for receiving the data source and constructing a rating space based on the interestingness of the program labels, a broadcast television user division unit for grouping the users in the rating space to obtain broadcast television cells of each program label, a program guide formulating unit for formulating and storing a program guide with high ratings, and a program guide sending unit for sending the program guide to the user. The system is sufficient in data feedback and accurate to group the users.

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 program list. 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, and finding the user groups with the same viewing habits, that is, the radio and television community, has become the research focus of the radio and television industry. [0003] The traditional TV program classification is a tree structure with containment relationship, such as figure 1 As shown, 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, ignores the multiple characteristics of TV programs, and fails to reflect the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N21/258H04N21/235H04N21/435
Inventor 殷复莲柴剑平王妍潘幸艺王鑫张贝贝
Owner COMMUNICATION UNIVERSITY OF CHINA