User grouping method based on fuzzy clustering

A fuzzy clustering and user technology, applied in database models, special data processing applications, instruments, etc., can solve problems such as reducing user experience, and achieve the effect of reducing blindness and high user similarity

Active Publication Date: 2017-03-22
NANJING UNIV OF POSTS & TELECOMM
View PDF3 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, on the one hand, facing the vast amount of information on the Internet, although users have more choices, they also need to spend more time and energy to obtain the information they want, which greatly reduces the user experience.

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
  • User grouping method based on fuzzy clustering
  • User grouping method based on fuzzy clustering
  • User grouping method based on fuzzy clustering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0029] The present invention mainly includes three contents: one is to improve the current user similarity algorithm so that the improved user similarity algorithm can distinguish data of different orders of magnitude; the other is to divide the data set and count each The number of data points in a grid is used as the data density in the grid, and the number of groups is determined by calculating the number of grids with the highest local density, thereby reducing the blindness in selecting the number of groups. The third is to use fuzzy membership in the process of user group division, so that users belong to multiple different groups at the same time with different membership degrees, and the fuzziness of user attribution is maintained in the process of division.

[0030] 1. Improve the current user similarity algorithm

[0031] Assuming that u...

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 user grouping method based on fuzzy clustering. The method comprises the following steps of: firstly, a current user similarity algorithm is improved to enable the improved user similarity algorithm to own a function of distinguishing data of different orders of magnitudes and enable users who are divided into the same group to have higher and more reasonable user similarity; secondly, a determining method based on the number of divided groups and an initial group center is put forward, the method divides a dataset to carry out statistics on the number of data points in each grid as data density in the grid, and the number of the grids with largest local density is calculated to determine the number of the groups so as to reduce blindness for determining the number of groups; and finally, in a user group division process, a fuzzy membership degree is adopted to enable the user to simultaneously belong to different groups by different membership degrees, and the fuzziness of user affiliation is kept in the division process so as to better conform to a true situation.

Description

technical field [0001] The invention relates to a user grouping method based on fuzzy clustering, which belongs to the technical field of data mining. Background technique [0002] With the development and popularization of the mobile Internet, the mobile Internet has become an important medium for people to obtain various information and resources, enabling users to use mobile smart terminals anytime, anywhere, and use related services they are interested in. Obviously, the mobile Internet and smart terminals have greatly changed the way people live, work and play. [0003] However, on the one hand, facing the vast amount of information on the Internet, although users have more choices, they also need to spend more time and energy to obtain the information they want, which greatly reduces the user experience. On the other hand, due to the clustering characteristics of user behavior, users belonging to the same cluster often have similar behavior rules, hobbies, etc., by di...

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
CPCG06F16/2462G06F16/2468G06F16/285
Inventor 张晖征原
Owner NANJING UNIV OF POSTS & TELECOMM
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