Individualized webpage recommending method based on detection of facial expression and sight distribution of user

A facial expression and distribution detection technology, applied in image analysis, special data processing applications, image data processing, etc., can solve problems such as difficult to discover user personalization

Inactive Publication Date: 2010-12-15
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, popular web search engines realize personalized search results for different users, mainly through user click data, historical websites, network addresses, etc., which are relatively easy to obtain but not easy to discover the characteristics of user personalization.

Method used

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  • Individualized webpage recommending method based on detection of facial expression and sight distribution of user
  • Individualized webpage recommending method based on detection of facial expression and sight distribution of user
  • Individualized webpage recommending method based on detection of facial expression and sight distribution of user

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Embodiment

[0096] Such as figure 1 As shown, the personalized web page recommendation system includes: eye tracking device 10, expression acquisition device 20, sample mobile phone module 30, web page preprocessing module 40, text analysis module 50, user database 60, query interface 70, traditional engine module 80, Reading interest prediction module 90 and sorting module 100 .

[0097] The eye tracking device 10 utilizes an advanced eye movement capture instrument to analyze the screen position where the current user's gaze is located; in the present embodiment, the eye tracking device adopts an ordinary camera (Logitech Quickcam Notebook Pro) with an open source eye tracking system Enable Viacam ( http: / / eviacam.sourceforge.net ) assembled.

[0098] The facial expression acquisition device 20, when the user reads the web page document, utilizes the facial expression recognition device to obtain the facial expression probability vector F of the user at each moment:

[0099] F=[f 1 ...

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Abstract

The invention discloses an individualized webpage recommending method based on the detection of the facial expression and the sight distribution of a user, comprising the following steps of: (1) detecting a focusing point of the sight of the user on a screen when the user reads a webpage; (2) detecting the facial expression of the user when the user reads the webpage, and estimating the reading concentration degree of the user at each moment; (3) estimating the reading interest of the user in each autonomous word according to the webpage read by the user; (4) predicting the reading interest of the user on a webpage which is not read by the user; and (5) generating an individualized webpage recommending result by utilizing reading interest of the user and combining with the traditional searching technology. The invention combines the reading concentration degree of the user with the searching and sequencing process of the webpage by effectively utilizing the facial expression and the sight distribution of the user when the user browses the webpage, thereby enabling the final individualized webpage recommending result to be more approximate to an expected result of the user.

Description

technical field [0001] The invention relates to the field of computer information and retrieval, in particular to a personalized web page recommendation method based on user facial expression and gaze distribution detection. Background technique [0002] At present, personalized network information retrieval has become one of the most popular computer research directions. At present, popular web search engines realize personalized search results for different users mainly through user click data, historical websites, network addresses, etc., which are relatively easy to obtain but not easy to discover the characteristics of user personalization. These are not the best methods, the best search results should be ranked according to the user's interests. A paper "Personalized online document, image and video recommendation via commodity eye-tracking" published at the 2008 ACM Recommender Systems Conference proposed a Method, by tracking the user's eye focus when browsing the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06T7/00
Inventor 江浩徐颂华刘智满
Owner ZHEJIANG UNIV
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