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Commodity periodic pushing method and system for B2B2C mode and readable storage medium

A product and model technology, applied in transmission systems, commerce, data processing applications, etc., to achieve the effects of reducing maintenance costs, improving shopping experience, and reducing search and search time

Active Publication Date: 2021-02-02
中智关爱通(上海)科技股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, for this type of employee users, the applicable push algorithm is not involved

Method used

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  • Commodity periodic pushing method and system for B2B2C mode and readable storage medium
  • Commodity periodic pushing method and system for B2B2C mode and readable storage medium
  • Commodity periodic pushing method and system for B2B2C mode and readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] This embodiment provides a method for regularly pushing commodities in the B2B2C mode, which is used to push commodities in multiple commodity libraries. The multiple commodity libraries correspond to different trading platforms. Commodity information with a maximum number of days threshold, the method includes the following steps:

[0042] S1: Build a labeling system for enterprises and employees. The labeling system for enterprises and employees includes employee static labels, employee dynamic labels, and enterprise dynamic labels. Employee static labels include basic information of employees, and enterprise dynamic labels include subscribed applications and asset types. Employee dynamic tags include purchase behavior information; employee basic information can include the company, department, gender, and region, and purchase behavior information can include purchased product information and order time;

[0043] The subscribed application corresponds to one or more p...

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PUM

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Abstract

The invention relates to a commodity periodic pushing method and system for a B2B2C mode and a readable storage medium, and the method comprises the steps of building a purchasing mode of an employeefor each commodity according to the purchasing behavior of the employee for the commodity, the purchasing mode comprising a purchasing period, a purchasing specification, a purchasing number, a purchasing price and a preferred brand, and each parameter of the purchase mode being obtained according to the average value or the maximum value of the corresponding parameters in the employee purchase behavior; determining a pushing date range of the commodity according to the purchase period; calculating a push value of each commodity according to the purchase mode; and according to the current date, the pushing date range and the commodity with the highest pushing value, pushing the commodity to the corresponding employee. Compared with the prior art, the invention has the advantages that targeted analysis on each employee and each commodity can be realized, so that in a closed business range, the purchase requirements of the employees can be met while enterprise attributes are not lost, the shopping experience is improved, and the search time of the system is shortened.

Description

technical field [0001] The present invention relates to the field of commodity push in B2B2C mode, in particular to a method, system and readable storage medium for regular commodity push in B2B2C mode. Background technique [0002] With the continuous development and progress of network information technology, there are many types of items on the e-commerce platform, and it is difficult to quickly find the desired items by simply searching, especially for fast-moving items and durable items that are highly repurchasable periodically. Timely and appropriate product push is particularly important. However, product brands, functions, specifications, prices, and purchase cycles are complex and changeable. Therefore, many push algorithms have appeared in the market, such as product collaborative filtering push and user collaborative filtering push. They push products according to user behavior preferences to increase product sales. and user purchase experience, but these algori...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06G06F16/9535G06F16/958H04L29/08
CPCG06Q30/0631G06F16/9535G06F16/958H04L67/55
Inventor 孙盼盼
Owner 中智关爱通(上海)科技股份有限公司
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