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

Prediction method of visual experience index of traditional reading materials

A prediction method and technology of reading materials, applied in the field of data processing, can solve the problem of ignoring the real effect of visualization methods, achieve accurate and rapid construction, and overcome the effect of class imbalance

Active Publication Date: 2021-03-26
安徽新知数字科技有限公司
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Generally speaking, the existing related research only focuses on how to design the visualization method, but ignores the real effect of this visualization method. The present invention aims to provide a method for predicting the visualization experience index of traditional reading materials. The relationship between them helps to assist manufacturers to correct their own visualization methods

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
  • Prediction method of visual experience index of traditional reading materials
  • Prediction method of visual experience index of traditional reading materials
  • Prediction method of visual experience index of traditional reading materials

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0040] The prediction method of visual experience index of traditional reading materials, such as figure 1 As shown, it specifically includes the following steps:

[0041] Step 1: Collect data and initialize

[0042] Collect visual reading materials and their user experience data, and establish a labeled sample set {(x p ,y p ),p=1,2,...,l} and unlabeled sample set {x q ,q=l+1,l+2,...,n}, where l represents the total number of labeled samples, n represents the total number of all samples, and the sample It is a 9-dimensional vector, and the sample features include reading classification, target readers, plot unfolding method, whether it is a 3D image, whether there are non-visual aids, main language of the text, drawing style, average numb...

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 traditional reading material visual experience index prediction method which comprises the following steps: 1) collecting visual reading materials and user experience data thereof, and establishing a labeled sample set and an unlabeled sample set; 2) marking a pseudo label on the unlabeled sample set; 3) training an experience index prediction classifier; and 4) predicting an experience index based on the base classifier obtained by training and a preset integration rule. The traditional reading material visual experience index prediction method has the advantages that the problems of class imbalance, long training time, high system overhead and uncertain smooth hypothesis existing in construction of the experience index prediction model in the field of reading material visualization can be solved, and the experience index prediction model can be accurately and quickly constructed.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a method for predicting the visual experience index of traditional reading materials. Background technique [0002] With the rapid development of modern society, more and more people will find it difficult to spare time to read traditional paper books. Therefore, new ways of reading have become an effective way to attract potential readers, including the visualization of traditional reading materials. Patent CN201010256059.9 provides an interface display method of electronic reading materials for electronic devices, which can realize the reading effect of traditional electronic magazines on the computer platform, simulate the process of pages being turned by users, and improve the user's acceptance of electronic reading materials and satisfaction. Patent CN201010190949.4 provides a Chinese character learning method using augmented reality technology combined with graphic reading ...

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 Patents(China)
IPC IPC(8): G06Q10/06G06Q30/02
CPCG06Q10/067G06Q30/0201
Inventor 梁琰高昕孙大平史鹏健
Owner 安徽新知数字科技有限公司
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