Electronic-commerce recommendation method based on user expression analysis

An e-commerce and recommendation method technology, applied in the computer field, can solve the problems of not being able to know whether the user's recommendation results are satisfied, the user experience is not satisfactory, and the recommendation system cannot understand the accuracy of the recommendation results.

Active Publication Date: 2012-04-04
BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD
View PDF4 Cites 30 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Since the recommendation system often only recommends products to users one-way, it is impossible to know whether the user is satisfied with the recommendation results.
As a result, the recommendation system cannot understand the accuracy of its reco

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
  • Electronic-commerce recommendation method based on user expression analysis
  • Electronic-commerce recommendation method based on user expression analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0022] figure 1 Shows the e-commerce recommendation steps based on user expression analysis, mainly including:

[0023] Step S100, the user logs in the e-commerce website through the e-commerce website client program on the handheld mobile device.

[0024] Step S101, the client program opens the camera of the user's mobile device.

[0025] Step S102, the client program recommends products to the user and records the user's avatar at the same time.

[0026] In step S103, the client program uses an image processing algorithm to analyze the user's expression, calculates the user's satisfaction, and feeds the satisfaction back to the recommendation system of the e-commerce website. The expression formula to describe the user's satisfaction with the recommended product is:

[0027] I=F+λ×E

[0028] Among them, F represents the facial expression ...

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 electronic-commerce recommendation method based on the user expression analysis, mainly comprising the following steps: starting an application program of a handheld side by a user to log into an electronic-commerce website to browse commodities and shop; starting a camera of handheld equipment by the application program to capture images of the user; analyzing the images to obtain the information on the expression of the user; and amending the recommendation result or algorithm according to the feedback of the expression of the user to obtain and finally recommend the commodities satisfying the demand of the user to the user.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to an e-commerce recommendation system based on user expression analysis. Background technique [0002] In recent years, with the advancement of computer and network technology, e-commerce has developed rapidly. Users can purchase various commodities through the network. In order to help customers find suitable products as soon as possible, and also to promote products, e-commerce websites will integrate a recommendation system to automatically generate product recommendations for customers. In the product recommendation system, in order to encourage users to purchase more products, the recommendation system needs to make targeted product recommendations based on the user's interest characteristics, try to explore the potential needs of users, and finally form an order. [0003] Since the recommendation system often only recommends products to users one-way, it is impossible to ...

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
IPC IPC(8): G06Q30/02
Inventor 韩军
Owner BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap