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

Advertisement classified match pushing method and system based on human face recognition

A face recognition and advertisement push technology, which is applied in business, equipment, data processing applications, etc., can solve the problems of user inconvenience, lower advertising collection efficiency, and high user resistance

Inactive Publication Date: 2014-07-23
HUIZHOU TCL MOBILE COMM CO LTD
View PDF6 Cites 65 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Every day through Internet TV or smart mobile terminal mobile phones, users are always forced to see a lot of advertisements that they do not want to see. Merchants are always worried that their advertisements will not be seen by the corresponding users, which reduces the efficiency of advertisement collection and high user resistance , causing inconvenience to users

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
  • Advertisement classified match pushing method and system based on human face recognition
  • Advertisement classified match pushing method and system based on human face recognition

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 and definite, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0040] See figure 1 , figure 1 It is a flow chart of a preferred embodiment of the face recognition-based advertising classification matching push method of the present invention. Such as figure 1 As shown, the advertisement classification matching pushing method based on face recognition includes:

[0041] Step S100 , classify advertisements in advance according to the objects suitable for different people's age and gender characteristic data, and generate a suitable advertisement push list corresponding to different people's age and gender characteristic data.

[0042] In the embod...

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 an advertisement classified match pushing method and system based on human face recognition. The method includes the steps that advertisements are classified in advance according to objects suitable for age and gender characteristic data of different people, and an advertisement pushing list correspondingly suitable for the age and gender characteristic data of different people is generated; when it is required that an intelligent terminal should perform advertisement pushing, the human face of the current user is recognized through the human face recognition technology so as to acquire and confirm the age and gender characteristic data of the current user; according to the acquired age and gender characteristic data of the current user, advertisements correspondingly suitable for the age and gender characteristic data of the current user in the advertisement pushing list generated in advance are searched for and pushed to the intelligent terminal of the current user. The method for enhancing the advertisement matching accuracy based on human face recognition is provided, and new function are added by using the intelligent terminal. Recommended advertisements can be classified according to users, and the advertisement classified match pushing method and system are convenient for users to use.

Description

technical field [0001] The present invention relates to the technical field of consumer electronics, in particular to a face recognition-based advertising classification matching push method and system. Background technique [0002] With the development of electronic technology and the continuous improvement of people's living standards, various consumer electronics such as Internet TV, smart mobile terminals, and mobile phones have entered people's lives in large numbers, and have become indispensable electronic products in people's lives. Every day through Internet TV or smart mobile terminal mobile phones, users are always forced to see a lot of advertisements that they do not want to see. Merchants are always worried that their advertisements will not be seen by the corresponding users, which reduces the efficiency of advertisement collection and high user resistance , causing inconvenience to users. [0003] Therefore, the prior art still needs to be improved and devel...

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): G06Q30/02
CPCG06Q30/0241
Inventor 陈喜玲
Owner HUIZHOU TCL MOBILE COMM CO LTD
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