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User classification method based on mouse behaviors

A classification method and mouse technology, applied in the field of data analysis, can solve problems such as not well reflecting the user's operating habits, not well studying the user's action characteristics, etc.

Active Publication Date: 2013-12-11
JINAN UNIVERSITY
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  • Abstract
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AI Technical Summary

Problems solved by technology

Moreover, these methods do not well study the user's action characteristics after entering the website, and do not reflect the user's operating habits well.

Method used

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  • User classification method based on mouse behaviors
  • User classification method based on mouse behaviors
  • User classification method based on mouse behaviors

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0059] Firstly, the computer screen area is divided, and the user's screens of different sizes and screen resolutions are uniformly quantified. The area division can be uniformly divided according to actual needs. By using the API provided by Windows, the shell script of Linux or browsing The browser's Javascript script reads the resolution of the user's screen, and divides the area according to the actual application situation.

[0060] The mouse hotspot area model counts the number of times it falls in each divided area within the mouse coordinate sequence at a specified time interval, and then judges the hotspot degree of the area according to the number of times the mouse appears in a certain area . At the same time, classification is carried out by comparing the degree of hotspots in each area of ​​different types of users.

[0061] For the mouse hotspot area model, before it is actually put into operation, it is necessary to collect and use user data to conduct data ana...

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Abstract

The invention discloses a user classification method based on mouse behaviors. The user classification method comprises the following steps of: S1, dividing a computer screen region and uniformly quantifying screens with different sizes and resolution ratios; S2, establishing a mouse hot spot region model and judging the hot spot degree of the region according to the frequency of appearing times of the mouse in a certain region; meanwhile, classifying by comparing the difference of the hot spot degree of each region of different types of users; and S3, establishing a mouse activeness model; evaluating the moving activeness degree of the user mouse in each divided region; classifying the users according to different and similar characteristics of the mouse activeness degree of each region of the users. The invention provides the method which completely depends on the mouse behaviors, does not depend on information including webpage content, IP (Internet Protocol), PV (Page View), UV (Unique Visitor) and the like, and is used for carrying out user attributive classification according to the behaviors of the users. Furthermore, the user classification method not only can flexibly set the size of a regional position for collecting data, but also supports multi-class classification, and can be applied to websites or various operation systems.

Description

technical field [0001] The invention relates to the technical field of data analysis, in particular to a user classification method based on mouse behavior. Background technique [0002] With the development of Internet technology, the content on the Internet is becoming more and more abundant, and we can obtain more and more information. The Internet has become an indispensable part of modern life. However, as individuals, the time we can spend on the Internet every day is limited. Therefore, for Internet service providers, especially mobile Internet, how to attract users' attention and provide users with better services has become a topic worthy of in-depth research for Internet service providers. Currently, there are two main methods for researching user behavior information: [0003] 1. User preference mining based on web logs. [0004] The author has already conducted a long-term literature search in large-scale paper databases such as CNKI at the beginning of determ...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F3/0484G06F3/033
Inventor 邓玉辉邓伟鸿
Owner JINAN UNIVERSITY
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