Data processing system and data processing method for mining television viewing modes

A data processing system and data processing technology, which are used in electrical digital data processing, special data processing applications, instruments, etc.

Active Publication Date: 2013-12-04
TCL CORPORATION
View PDF3 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although autocorrelation studies have been used in the statistical analysis of a variety of data, such as web access, music and audio, images and video, no one has attempted to introduce this approach to the study of television viewing history

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
  • Data processing system and data processing method for mining television viewing modes
  • Data processing system and data processing method for mining television viewing modes
  • Data processing system and data processing method for mining television viewing modes

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] In order to make the object, technical solution and advantages of the present invention more clear and definite, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0049] The invention utilizes the self-similar feature of the user's viewing history, and converts the mining mode of the user's watching TV to the rate-distortion optimization problem, and uses the distortion degree theory to find a solution. Using rate-distortion theory to find user viewing patterns minimizes the gap between raw historical statistics and reconstructed statistics representative of viewing patterns. This new data mining process for viewing patterns includes three parts: content classification, category selection principles and user viewing pattern recognition. An effici...

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 invention discloses a data processing system and a data processing method for mining television viewing modes. The problem of mining user viewing modes hidden under a user viewing history is mapped to be the problem of optimizing a usable rate distortion theory; by giving the user viewing history, the user viewing modes can be efficiently found out, and distortion rate between data reconstructed by the user viewing modes and original data is ensured to be minimum, so that convenience is brought to a user for viewing television programs, service quality of television products is improved, and popularization of the products is facilitated.

Description

technical field [0001] The present invention relates to the mining of TV watching patterns of users, in particular to a data processing system and method for mining TV watching patterns based on the rate-distortion theory. Background technique [0002] At present, user habits play a vital role in the provision of consumer goods and services. To promote your own products and services, you must understand the users who use the products and services. For this problem, there are many solutions in the prior art , however these solutions are not very ideal, because the user's behavior has a strong deterministic factor. In addition, some technical solutions study user feedback through implicit methods, such as using the user's program selection history or viewing history to discover viewer preferences. However, this method is too simple and cannot really reveal the deeper patterns hidden under user behavior. [0003] In the TV field, the mining of user viewing patterns also determ...

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
Inventor 汪灏泓董延平
Owner TCL CORPORATION
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