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Method and system for intelligently recommending products based on e-commerce platform

A technology of e-commerce platform and recommendation method, which is applied in business, equipment, sales/lease transactions, etc., and can solve problems such as lack of intelligent recommendation methods

Active Publication Date: 2017-06-30
HARBIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the existing intelligent product recommendations applied on the e-commerce platform are all based on the analysis of the user's operation data on the e-commerce platform, and cannot communicate with users in the real environment outside the e-commerce platform. The detection of viewing status of related advertisements on the e-commerce platform and the identification of viewing users lack intelligent recommendation methods that match the influence rate of advertisements in the actual environment.

Method used

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  • Method and system for intelligently recommending products based on e-commerce platform
  • Method and system for intelligently recommending products based on e-commerce platform
  • Method and system for intelligently recommending products based on e-commerce platform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] Please refer to figure 1 , figure 1 It is a schematic flow chart of the method for intelligent product recommendation based on the e-commerce platform provided by the present invention. Specifically, this embodiment provides a method for intelligently recommending products based on an e-commerce platform, including the following steps:

[0029] 101: The LED advertising screen sends the advertised information and the image in the visual environment of the advertising period corresponding to the advertising information collected by the camera to the application server, wherein the advertising information is an identification for identifying the advertisement;

[0030] 102: The application server extracts a portrait from the image, uses portrait recognition technology to analyze the user who watched the advertisement, calculates the time the user watched the advertisement, and judges whether the time spent watching the advertisement exceeds a preset time threshold, and if...

Embodiment 2

[0066] Please refer to figure 2 , figure 2 It is a schematic structural diagram of the product intelligent recommendation system based on the e-commerce platform provided by the present invention. This embodiment provides an intelligent product recommendation system based on an e-commerce platform, including an LED advertising screen 201, an application server 202, and a cloud 203. The image in the visual environment corresponding to the advertisement delivery time period of the information is sent to the application server 202, wherein the advertisement information is an identifier for identifying the advertisement; the application server 202 includes a portrait extraction module 205, which is used to extract the portrait from the image , portrait analysis module 206, for utilizing portrait recognition technology to analyze the user who watches the advertisement, calculation module 207, for calculating the time when the user watches the advertisement, and time judging modu...

Embodiment approach

[0067] As an embodiment of the present invention, the application server 202 further includes a product type judging module 225 for judging whether the advertisement information corresponding to the user portrait is product advertisement information.

[0068] As an embodiment of the present invention, the advertisement information includes the brand, name, model, manufacturer or sales company of the advertisement object; the product information includes the brand, name, model, and manufacturer corresponding to the product.

[0069] As an implementation manner of the present invention, the preset time threshold is 50% of the time corresponding to the advertisement delivery period.

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Abstract

The invention provides a method and a system for intelligently recommending products based on an e-commerce platform. The method comprises: an LED advertisement screen sends the projected advertisement information and the acquired videos to an application server; the application server extracts human images from the videos, analyzes the users who watch the advertisements, calculates the time the users spend on watching the advertisements, and uploads the advertisement information corresponding to the human images of the users to a cloud terminal when their advertisement watching time is longer than the preset time threshold; a cloud server saves the received contents in a temporary database; an e-commerce server grabs the product information of the e-commerce platform and saves the information in an e-commerce product database; the cloud server transmits the compared data that meet the information characteristics of the products to a standard database; when the e-commerce server monitors the operation actions of the users, it obtains the human images of the operation users from the e-commerce client terminals. The e-commerce server obtains corresponding advertisement information when the human images of the operation users are compared to be consistent with the human images of users in the standard database and recommends the products on the e-commerce platform corresponding to the advertisement information to the operation users.

Description

technical field [0001] The invention relates to the field of e-commerce, in particular to a method for intelligently recommending products based on an e-commerce platform and a system thereof. Background technique [0002] With the popularization of the Internet and the rapid development of e-commerce, people's shopping patterns are gradually changing. Commodity transactions through e-commerce websites are becoming more and more frequent, and the group of online shoppers is also growing. [0003] Online shoppers generate a large amount of data when using the Internet for daily online shopping, and these data are very valuable for e-commerce platforms, and the processing and analysis of these big data can obtain very valuable commercial value. Big data is widely used in various applications of e-commerce platforms, and is of great significance to the value of the platform. Through massive data analysis and the realization of cloud computing, it can maximize the help of e-comm...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q30/06
CPCG06Q30/0255G06Q30/0631
Inventor 王克朝冉起刘琳任向民
Owner HARBIN UNIV
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