Potential friend recommending method based on friend making preference and matrix decomposition

A matrix decomposition and friend recommendation technology, applied in the Internet field, to achieve the effect of reducing complexity and accurate recommendation effect

Active Publication Date: 2018-05-11
SOUTH CHINA UNIV OF TECH
View PDF6 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the defect that the existing technology lacks the preference of friend selection based on geographic location and stranger social interaction, a potential friend recommendation method based on friend selection preference and matrix decomposition is provided

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
  • Potential friend recommending method based on friend making preference and matrix decomposition
  • Potential friend recommending method based on friend making preference and matrix decomposition
  • Potential friend recommending method based on friend making preference and matrix decomposition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0041] Such as figure 1 As shown, a potential friend recommendation method based on friend selection preference and matrix decomposition includes the following steps:

[0042]S1 sets up geo-fences to obtain basic user information and display recommended objects through the mobile APP client. The basic information of the user includes geographic location, personal photos, personal information (gender, interests, etc.), and the user can view the recommendation after uploading the basic information. Based on the basic information of a group of users, and then based on this information, the recommended user will be expressed as "like" or "dislike", and the user will be recorded in the background when other users express their opinions as a recommended user. The user's statement to other users is invisible to the other party. Only when a pair of users "like" each other can a successful match be generated, and the recommended target is the user who may be successfully matched with t...

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 potential friend recommending method based on friend making preference and matrix decomposition. The method includes the steps of conducting declaration estimation among users, fusing bidirectional recommending results among the users and finally recommending strangers probably becoming friends to the users according to the declaration data of the users, through the matrix decomposition and with sequencing learning as the friend making preference of model learning users. By means of the method, by screening the popularity of the users, the sparsity problem caused by auser declaration scoring matrix in a traditional recommending algorithm based on the matrix decomposition can be effectively relieved, data dimensionality reduction is realized, and the recommendingprecision of strange potential friends can be further improved by comprehensively considering the bidirectional recommending result.

Description

technical field [0001] The invention relates to the Internet field, in particular to a potential friend recommendation method based on friend selection preference and matrix decomposition. Background technique [0002] Today, when the mobile Internet has greatly facilitated people's lives, the huge amount of information and data has also brought confusion to users in choosing. For example, e-commerce websites use users' shopping records to recommend similar products to users, and Weibo recommends people they may know to users based on their social relationships. The application of the recommendation system screens data for people to help people realize their needs more efficiently. [0003] With the emergence of the mobile Internet, people can conveniently obtain information about strangers based on their geographical location and establish social relationships with nearby people, not limited to existing contacts. However, at this stage, most of the current social systems ...

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): G06F17/30G06Q50/00
CPCG06Q50/01G06F16/9535
Inventor 王一歌叶展鹏
Owner SOUTH CHINA UNIV OF TECH
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