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

Web page image individuation search method based on eyeball tracking

A technology of eye tracking, search method, applied in the field of computer search, capable of solving controversial and other problems

Inactive Publication Date: 2009-03-11
ZHEJIANG UNIV
View PDF0 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although it has been mentioned more and more in recent research, it is still debated whether it can really reflect user intent

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
  • Web page image individuation search method based on eyeball tracking
  • Web page image individuation search method based on eyeball tracking
  • Web page image individuation search method based on eyeball tracking

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0089] The flow structure of the web page image personalized search method based on eyeball tracking of the present invention is as follows: figure 1 shown. The personalized sorting system includes two parts, the client and the server. The client obtains the attention time of the user through 20, an eye tracking device, and the server includes 30, a sample collection module, 40, correction of attention time, 50, a user database, and 60 . Image database, 70. Query interface, 80. Traditional engine module, 90. Image preprocessing module, 100. Image comparison module, 110. Attention time prediction module, 120. Sorting module.

[0090] The eye tracking device 20 utilizes advanced eye movement capture equipment to analyze the position of the image where the user's line of sight is currently located and the user's attention time on the image. In this example, the eye tracking device uses a common camera (Logitech Quickcam Notebook Pro) with an open source eye tracking system openg...

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 webpage image individualized searching method based on eyeball tracking, which comprises the following steps: 1) sample information of webpage image concerned time of a user is obtained by the use of an eyeball tracking device; 2) a user concerned time sample obtained is corrected; 3) an appropriate image similarity algorithm is dynamically selected by the application of a decision tree for an unknown webpage image; 4) the user concerned time of the unknown webpage image is predicted based on the image similarity; and 5) individualized webpage image searching results are generated by the use of the user concerned time and by the combination of traditional searching technology. The webpage image individualized searching method based on eyeball tracking effectively obtains individual reading interest of the user through the eyeball tracking device and combines the favorite of the user with the webpage image searching process, thus rendering the final webpage image searching ranking results to be closer to the ideal ranking expected by the user.

Description

technical field [0001] The invention relates to the field of computer search, in particular to an eye tracking-based personalized search method for web page images. Background technique [0002] Existing personalization engines rely on user feedback, which can be divided into explicit feedback and implicit feedback. From both types of feedback, we can obtain user preference characteristics (Salton & Buckley 1990; White, Jose, & Ruthven 2001; White, Ruthven, & Jose 2002). But users are generally unwilling to provide explicit feedback, so more and more researches now turn to implicit feedback (Granka, Joachims, & Gay 2004; Guan & Cutrell 2007; Fu 2007). Studies have shown that implicit feedback can well reflect the user's search intention (Fox et al.2005; Dou, Song, & Wen 2007; Fu 2007). And user preferences obtained from a large number of implicit feedback are often better than explicit feedback more reliable. [0003] Query history: In modern research, the most frequently...

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): G06F17/30
Inventor 徐颂华江浩刘智满潘云鹤
Owner ZHEJIANG UNIV
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