Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Network community user friend recommending method based on character similarity matching calculation

A technology of similarity calculation and similarity matching, which is applied in the field of personalized service of WEB network community, and can solve the problems of the gap between the service effect of community website and the needs of users.

Inactive Publication Date: 2014-02-12
XI'AN POLYTECHNIC UNIVERSITY
View PDF2 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a network community user friend recommendation method based on personality similarity matching calculation, to solve the problem that there is still a huge gap between the service effect and user needs of current community websites

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
  • Network community user friend recommending method based on character similarity matching calculation
  • Network community user friend recommending method based on character similarity matching calculation
  • Network community user friend recommending method based on character similarity matching calculation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0080] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0081] The present invention is based on a method for recommending friends of users in a network community based on personality similarity matching calculations, characterizes user characteristics through personality, establishes a personality model, completes personality similarity calculations, and then realizes a method for intelligent recommendation of community users and friends.

[0082] Specifically follow the steps below:

[0083] Step 1. Build a user personality model

[0084] According to the personality-related theory, combined with the possibility of obtaining relevant information about users in the community, the user's personality model is abstracted, such as figure 1 As shown, the user personality is composed of static feature items and dynamic feature items, and a quantifiable set of user personality feature items is establis...

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 provides a network community user friend recommending method based on character similarity matching calculation. Characteristics of a user are represented by characters, a character model is built, character modeling and character similarity calculation and judgment are completed, and accordingly the intelligent network community user friend recommending method is achieved. According to the network community user friend recommending method based on character similarity matching calculation, real interest and application trends of network community users can be well reflected, accordingly, by means of user character similarity matching calculation, intelligent user friend recommending is achieved, the method can be well used for building of a current network community user friend relation circle, and the problem that great differences exist between service effects and user requirements in a current community website is solved.

Description

technical field [0001] The invention belongs to the technical field of personalized service in WEB network communities, and in particular relates to a friend recommendation method for network community users based on character similarity matching calculation. Background technique [0002] With the rapid development of Internet community websites, it is currently the Internet to learn users' personalities, interests and behaviors by collecting and analyzing user information, establish descriptions of user personalities, study different user's personality orientations, and realize intelligent recommendation of users' friends in online communities. An important aspect of community development. [0003] The study found that there is still a huge gap between the service effect and user needs of community websites. The root of this is that community websites only implement recommendations by measuring the consistency of users' static information and the number of mutual friends, ...

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 张晓滨
Owner XI'AN POLYTECHNIC UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com