System and method for predicting user behavior in wireless Internet

A forecasting method and forecasting system technology, applied in transmission systems, digital transmission systems, data exchange networks, etc., can solve problems such as the lack of real-time analysis and forecasting systems, and achieve perfect and accurate forecasting results, ensuring validity, and ensuring integrity. Effect

Inactive Publication Date: 2011-11-09
GUANGZHOU MAILIAN COMP TECH
View PDF3 Cites 58 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There is currently no real-time analysis and prediction system officially released

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
  • System and method for predicting user behavior in wireless Internet
  • System and method for predicting user behavior in wireless Internet
  • System and method for predicting user behavior in wireless Internet

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] refer to figure 1 , the wireless Internet user behavior prediction system of the present invention includes a user behavior analysis and prediction module 11 and a user behavior data collection module 12 .

[0041] The user behavior analysis and prediction module 11 located on the server side first establishes a reasonable mobile phone user and its behavior model based on the sample data, covering the user's natural and social attributes and their multi-dimensional behavior attributes in the process of surfing the Internet; The method of algorithm for user classification not only avoids the impact of inaccurate subjective classification on behavior prediction, but also optimizes the user model. After user classification is obtained, data mining is used to obtain long-term behavior predictions for user categories and short-term behavior associations for individual behaviors. The neural network method is used to continuously update and improve the accuracy of real-time b...

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 system and method for predicting user behavior in wireless Internet. The system comprises a user behavior data acquisition module which is positioned on a client and is used for acquiring user behavior data within user running time and transmitting the user behavior data to a server, and a user behavior analyzing and predicting module which is positioned on a server side and is used for establishing a user behavior model and analyzing and predicting user behavior according to user behavior data acquired by the user behavior data acquisition module positioned on the client. The method comprises the following steps of: A, establishing a user behavior model; B, acquiring user behavior data within user running time; and C, and analyzing and predicting user behavior according to the acquired user behavior data. According to the technical scheme of invention, the integrity and effectiveness of data can be ensured; and behavior prediction is partitioned into group long-term behavior prediction and individual short-term behavior prediction, so that the correlation between user property and user behavior is fully mined. Comprehensive behavior prediction is performed by using a neural network, so that a prediction result is perfected and made accurate continuously.

Description

technical field [0001] The invention relates to a wireless Internet behavior analysis and prediction technology, in particular to a wireless Internet user behavior prediction system and method. Background technique [0002] With the widespread application of 3G technology and the emergence of various intelligent mobile terminals, wireless Internet users are on the rise. How to carry out precise marketing to wireless Internet users has become an urgent problem in front of every operator and every mobile website. Through the in-depth analysis of wireless Internet user behavior, we can understand the real needs of users, make full use of network resources, provide relevant information that users care about, improve user experience and loyalty, and then build a better profit model. The current wireless Internet user behavior prediction is still a relatively new research field, and there is no relatively perfect solution. [0003] The most similar existing research fields are: ...

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): H04L12/26G06N3/12
Inventor 谢永开
Owner GUANGZHOU MAILIAN COMP 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