Microblog system friend recommending method based on neighbor relations

A recommendation method, Weibo technology, applied in the field of online social interaction, can solve problems such as association, without considering the location and interests of Weibo users, and achieve the effects of increasing contact frequency, improving usability, and improving accuracy

Inactive Publication Date: 2015-12-09
TIANJIN NORMAL UNIVERSITY
View PDF3 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, none of the existing related works can be directly applied to the above tasks, because they do not consider the correlation between the location and interests of Weibo users.

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
  • Microblog system friend recommending method based on neighbor relations
  • Microblog system friend recommending method based on neighbor relations
  • Microblog system friend recommending method based on neighbor relations

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0037] In recent years, the microblogging system has developed vigorously and attracted a large number of Internet users. The massive microblog content (tweets) sent by users has become an important resource for understanding microblog user behavior. At present, a large number of researches on online friend recommendation are based on the analysis of microblog content to obtain users' interests and preferences, and recommend users with similar interests to each other, so that users can obtain information resources that they are interested in. However, most of these existing studies ignore the potential tight relationship between social media users' location and interests, and cannot enable users to obtain the information they really want. To this end, this paper proposes a brand-new recommendation method based on neighbor-based friend recommendation. By recommending other Weibo users with similar interests and hobbies within a certain range near the user to the user, it provide...

Embodiment 2

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 microblog system friend recommending method based on neighbor relations. The method is mainly characterized in that the current positions and the interests of online users are combined, microblog users who has similar interests within a user view range are recommended to a source user, and an approach for establishing connection and communication with surrounding interested persons surrounding persons who the user might be interested in is provided to a social media user. Thus, the method comprises the steps of: firstly establishing a neighbor group for the source user, and then utilizing a word bag and matrix decomposition method to excavate the interest of the user from microblog content; then measuring the interest similarity of the microblog users in the neighbor group through a hypercube; and finally providing a shortcut algorithm for theme matching so as to further improve the accuracy of interest recommendation. By adopting the method, precise interest recommendation can be carried out on the microblog users who are at the same place at present, and the purposes that information which the user might be interested in are excavated from mass microblog data and the connection among the users are facilitated are achieved.

Description

[0001] This invention is funded by the National Natural Science Foundation of China (61103227, 61272526). technical field [0002] The invention relates to using microblog interest mining to enhance online social interaction among Internet users, in particular to a new method for recommending friends in a microblog system based on neighbor relations. Background technique [0003] Micro-blogging systems (micro-blogging systems), especially Twitter and Weibo, have been greatly developed today. As of 2013, Twitter has more than 140 million active users who publish more than 340 million messages every day. Weibo has also accumulated more than 400 million users, with as many as 1,000 Weibo messages posted every second. The large amount of Weibo content posted by users demonstrates the big data environment under the social media platform. Not only that, microblog systems (such as Twitter and Weibo) also present powerful media features, providing microblog users with powerful and...

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): H04L12/58G06F17/30G06F17/27
Inventor 朱金奇马春梅张兆年
Owner TIANJIN NORMAL UNIVERSITY
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