E-commerce recommendation method based on user expression analysis

A technology of e-commerce and recommendation methods, applied in the computer field, can solve the problems that the recommendation system cannot understand the accuracy of the recommendation results, cannot know whether the user's recommendation results are satisfactory, and the user experience is not satisfactory, etc.

Active Publication Date: 2017-07-28
BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD
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  • Summary
  • Abstract
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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 recommendation results, and cannot update its own recommendation algorithm according to changes in user needs to achieve better recommendation results
In the end, most recommendation systems tend to be homogeneous, and the user experience is often unsatisfactory

Method used

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  • E-commerce recommendation method based on user expression analysis

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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 ...

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Abstract

The invention discloses an e-commerce recommendation method based on user expression analysis, which mainly includes the following steps: the user starts the application program of the handheld terminal to log in to the e-commerce website to browse commodities and shop; the application program opens the camera of the handheld device to capture the image of the user; Image analysis to get the user's expression information; according to the user's expression feedback to modify the recommendation result or recommendation algorithm, and finally get the product that the user is satisfied with and recommend it 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

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/02
Inventor 韩军
Owner BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD
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