Supercharge Your Innovation With Domain-Expert AI Agents!

Commodity recommendation method, apparatus, device based on face recognition and storage medium

A product recommendation and face recognition technology, applied in the Internet field, can solve the problems of consuming a lot of manpower and material resources, long waiting time, and low success rate, and achieve the effect of simplifying the process of product recommendation, saving manpower and material resources, and improving the success rate.

Pending Publication Date: 2019-01-29
PING AN TECH (SHENZHEN) CO LTD
View PDF0 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In view of this, the present invention provides a product recommendation method, device, device and storage medium based on face recognition, the main purpose of which is to solve the problem that current users may need to wait for a long time for salespersons to make inquiries, so as to make product recommendations for users The process is cumbersome and requires a lot of manpower and material resources to understand the user and query the user's specific information, and the accuracy of the query is low, resulting in a low sales success rate

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
  • Commodity recommendation method, apparatus, device based on face recognition and storage medium
  • Commodity recommendation method, apparatus, device based on face recognition and storage medium
  • Commodity recommendation method, apparatus, device based on face recognition and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0071] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0072] The embodiment of the present invention provides a product recommendation method based on face recognition, such as figure 1 As shown, the method includes:

[0073] 101. Determine the facial feature data, identify the facial feature data, and extract the facial feature data from the collected image data.

[0074] For the specific implementation method, refer to step 201 to step 202 in the embodiment.

[0075] 102. When the...

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 commodity recommendation method, apparatus, device based on face recognition and storage medium and relates to the technical field of internet. The method can recognize facefeature data, acquires the historical data of the target user, determines the recommended commodity, and pushes the first sales message to the sales terminal, so that the salesperson can make the commodity recommendation without querying the data of the target user, thereby simplifying the process of the commodity recommendation, saving a great deal of manpower and material resources, and the correctness of the determined recommended commodity is high, so as to improve the success rate of the sales. The method comprises the following steps of: determining human face feature data and recognizing the human face feature data; obtaining the history data of the target user indicated by the face feature data when the recognition of the face feature data is successful; generating a user portraitof the target user according to the historical data, and determining at least one recommended commodity for the target user; based on the at least one recommended commodity, a first sales message is generated, and the first sales message is pushed to the at least one sales terminal.

Description

technical field [0001] The present invention relates to the field of Internet technologies, in particular to a face recognition-based commodity recommendation method, device, equipment and storage medium. Background technique [0002] In recent years, with the improvement of living standards and the rise of the sales industry, people pay more and more attention to their favorite products and buy them enough. With the development of Internet technology, all major physical stores are equipped with sales terminals. In order to ensure that the products recommended to users by sales staff in physical stores are products that users may like, usually sales staff in physical stores will use sales terminals to target Specifically, make recommended products for different users, and then recommend the recommended products to users. [0003] In the related technology, when the salesperson makes recommended products for the user through the sales terminal, most of the salesperson active...

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): G06F16/532G06F16/58
Inventor 乐志能
Owner PING AN TECH (SHENZHEN) CO LTD
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More