A method and system for identifying online user types based on visual behavior

A user type, visual behavior technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as low reliability, low recognition accuracy, and difficulty in obtaining online users' psychological activities.

Active Publication Date: 2018-01-12
BEIJING UNIV OF TECH
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The existing online user type identification is mainly through questionnaires, online click-through rate and other methods, so it is difficult to obtain the psychological activities of online users in the process of surfing the Internet, the identification accuracy is low, and the credibility is not high

Method used

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  • A method and system for identifying online user types based on visual behavior
  • A method and system for identifying online user types based on visual behavior
  • A method and system for identifying online user types based on visual behavior

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Embodiment Construction

[0041] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in combination with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are exemplary only, and are not intended to limit the scope of the present invention. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concept of the present invention.

[0042] below, see figure 1 Shown is a flow chart of an embodiment of the online user type recognition method based on visual behavior of the present invention, combined with figure 2 An example of eye movement data formation is shown, describing an implementation of the method of the present invention.

[0043] In one embodiment, the online user type identification method based on visual behavior may mainly include the...

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Abstract

The invention discloses a visual behavior-based online user type identification method and system, which collects and processes the eye movement data of one or more different types of users, obtains a gaze information data set and a user type set, and according to the gaze information data set Gaze information, obtain one or more eye movement feature data to form a sampling data set, select eye movement feature data from it and input it into a support vector machine, train to obtain a user type classifier, complete the machine learning process to obtain a classifier, and collect any online The user's eye movement data is input to the trained user type classifier, and the user type of any user on the Internet is identified according to the classifier. Mainly use eye-tracking technology to obtain and calculate three types of eye-movement characteristic data when users browse the web, and judge the type of online users according to the difference in eye-movement characteristic data. User identification based on visual behavior can actively record the eye movement data of online users, and the extraction of data is simple and reliable, with high accuracy and reliability.

Description

technical field [0001] The invention relates to the technical field of automatic user type identification, in particular to a visual behavior-based online user type identification method and system. Background technique [0002] With the development of science and technology and the popularization of the network, the network has become an indispensable communication tool and information exchange platform for people's life, study and work. Information requests are slow to receive manual input from users, but users can quickly obtain a large amount of information from computer interfaces and audio, which will cause a problem of unbalanced human-computer interaction bandwidth. With the widespread use of computer networks and the increasing standards of public demand, the research on computer network intelligence has attracted extensive attention. [0003] Network intelligence not only requires information processing intelligence, but also human-computer interaction intelligenc...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06K9/46
CPCG06V40/18G06F18/2411G06F18/00
Inventor 栗觅吕胜富马理旺钟宁
Owner BEIJING UNIV OF TECH
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