Broadcast television subscriber grouping system and method based on spectral clustering integration

It is a technology of radio and television and spectral clustering, which is applied in the direction of electric digital data processing, special data processing applications, instruments, etc., and can solve problems such as inability to obtain effects, achieve accurate clustering integration effects, improve integration, and improve accuracy. Effect

Active Publication Date: 2015-11-25
COMMUNICATION UNIVERSITY OF CHINA
View PDF5 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Using the clustering integration method based on the traditional consensus function to group users does not get good results

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Broadcast television subscriber grouping system and method based on spectral clustering integration
  • Broadcast television subscriber grouping system and method based on spectral clustering integration
  • Broadcast television subscriber grouping system and method based on spectral clustering integration

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] 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.

[0027] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0028] figure 1 It is the radio and television user grouping system integrated based on spectrum clustering in the present invention, such as figure 1 As shown, the broadcast television user grouping system includes:

[0029] The input unit 110 is used to input various parameters required to determine the viewing preferences of broadcast TV users, wherein the parameters at least include: program type, attribute characteristic index, space a...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The present invention provides a broadcast television subscriber grouping system and method based on spectral clustering integration. The system comprises: an input unit, for inputting audience preference parameters; a program database, for storing program playing information; an audience rating database, for collecting program watching information from subscribers; an audience preference space construction unit, for calling a data source from the program database and the audience rating database according to an attributive character index input by the input unit, and obtaining attributive character index data of the subscribers for the types of programs, thereby forming a preference matrix; a first grouping unit, for grouping the subscribers multiple times based on the audience preference space; a matching unit, for performing a consensus match on clusters in a grouping set by using a consensus function, so as to construct a cluster relationship diagram; a second grouping unit, for converting the cluster relationship diagram into a cluster relationship degree matrix, which is used as a similarity matrix, and for grouping the clusters by using a spectral clustering method; and an integration unit, for setting a group as a group in which a data point is located, wherein the number of occurrences of the data point in a cluster in the group is greatest.

Description

technical field [0001] The present invention relates to the field of radio and television, and more specifically, to a radio and television user grouping system and method based on spectrum clustering integration. 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 user viewing behavior, grouping users, finding user groups with different viewing habits, and recommending personalized programs has become the research focus of the radio and television industry. [0003] Cluster analysis is to divide objects into multiple classes or clusters according to the degree of closeness in nature, so that the data within a class or cluster has a high degree of similarity, and the data between classes or clusters has a high degree of dissimilarity. Analysis has been successfully applied to many fields such as info...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 殷复莲柴剑平王鑫张博
Owner COMMUNICATION UNIVERSITY OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap