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

A method and device for determining the fidelity of mobile application description and authority based on deep learning

A mobile application and deep learning technology, applied in the field of mobile applications, can solve problems such as inability to determine fidelity, high correlation, and time-consuming training models, and achieve simple and convenient syntax analysis, outstanding effects, and rich semantic information.

Active Publication Date: 2022-05-06
杭州嘉洁网络科技有限公司
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, because this type of model is unsupervised learning, there will be correlations that do not exist in practice but are highly relevant, and training the model takes a long time
In particular, all existing technologies only consider the one-to-one relationship between description and authority, and cannot determine the overall fidelity

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
  • A method and device for determining the fidelity of mobile application description and authority based on deep learning
  • A method and device for determining the fidelity of mobile application description and authority based on deep learning
  • A method and device for determining the fidelity of mobile application description and authority based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0057] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0058] It should be noted that if there is a directional indication (such as up, down, left, right, front, back...) in the embodiment of the present invention, the directional indication is only used to explain the position in a certain posture (as shown in the accompanying drawing). If the specific posture changes, the directional indication will also change accordingly.

[0059] In addition, if there are descriptions involving "first", "second" and ...

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 method and device for determining the fidelity of mobile application description and authority based on deep learning. The device is used to implement the above method. The word vector matrix used for classifying deep neural networks; each sentence s∈S corresponds to zero or more permissions, and the trained deep neural network model is used to output the classification category of each sentence, each category represents a kind of authority, Integrate the category output of all description sentences of mobile application A, and assume that Y is the predicted permission set of mobile application A corresponding to the model output category, and determine the fidelity of mobile application description and permission. The present invention obtains more accurate fidelity judgment results by obtaining richer semantic information, simpler lexical analysis and syntax analysis.

Description

technical field [0001] The present invention relates to the technical field of mobile applications, in particular to a deep learning-based mobile application description and authority fidelity determination method and device. Background technique [0002] As a product of the organic combination of traditional Internet technology, mobile communication technology and smart terminals, the mobile Internet is the extension and evolution direction of the traditional Internet, and it is developing rapidly due to its high portability. Mobile applications are the core of the development of the mobile Internet. In 2016, the number of mobile applications increased significantly year-on-year. The latest data shows that as of March 2017, the number of applications available in the Google Play app store alone has exceeded 2.8 million. It is true that the mobile Internet combines the advantages of mobile communication anytime and anywhere with the openness and rich service capabilities of...

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): G06F16/35G06F40/289G06F40/30G06F21/56G06N3/04
CPCG06F21/562G06F40/289G06F40/30G06N3/045
Inventor 陈亮冯缨岚郑子彬
Owner 杭州嘉洁网络科技有限公司
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