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

User interest mining method based on complex network characteristics and neural network clustering

A complex network and user interest technology, which is applied in the field of mining user interest, can solve problems such as not having universal versatility, and achieve the effect of improving mining accuracy

Inactive Publication Date: 2016-07-06
BEIJING UNIV OF TECH
View PDF4 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Wang Zi et al. proposed a method based on the compound keyword vector space to maximize the relationship between the keywords that users are interested in. However, the selected keywords are based on product attributes, and the method is not universal.

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 interest mining method based on complex network characteristics and neural network clustering
  • User interest mining method based on complex network characteristics and neural network clustering
  • User interest mining method based on complex network characteristics and neural network clustering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] Such as figure 1 Shown is a schematic diagram of the present invention. In order to verify the mining effect of this method on user interest software, the behavior logs of 1000 test users using computer software within 15 days (20150805-20150819) were collected, and the interest selected by the user was manually collected. The software is compared with the final experimental results, and the results are evaluated by precision P, recall rate R, and F1 value. The precision indicates the accuracy of algorithm mining, and the recall rate indicates the coverage of algorithm mining. The description of the comprehensive evaluation rate of the two indicators of degree and recall rate, the calculation formula can be written as

[0042] P = N min i n g r i g h ...

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 present invention relates to a user interest mining method based on complex network characteristics and neural network clustering. The method is designed mainly from the following three aspects: 1) establishing a complex network model; 2) determining a node importance index; and 3) carrying out neural network clustering. According to the method disclosed by the present invention, the complex network model is used in mining user software interests, a complex network of software used by a user is established, a node degree, a clustering coefficient, a node betweenness and a node probability characteristic index are used to determine an importance rank of nodes so as to form a user interest set, and then a neural network model is used for mining interest set clustering and determining a final user interest set, so that a new method is provided to mine a user interest model, accuracy of mining user software interest is significantly improved, and a plurality of interests of the user can be mined by using the method.

Description

technical field [0001] The invention relates to a method for mining user interests, in particular to a method for mining user interests based on complex network characteristics and neural network clustering, which mines software of interest to users from behavior logs of users using software, and belongs to the field of artificial intelligence. Background technique [0002] With the rapid development of Internet technology, software technology, as a kind of information industry, cannot be underestimated. Various new products and new applications emerge in an endless stream, and have become an important part of production and life. In the era of so many electronic products, how to capture the interests of users and improve users' loyalty and interest in products has become a powerful solution to enhance the core competitiveness of enterprises. Since the process of using electronic products (PC or mobile phone) by users is the process of using various software, it is necessary...

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
IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 张兴兰刘炀
Owner BEIJING UNIV OF TECH
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