Product customer big data applicable matching system and computer storage medium

A big data and product technology, applied in the field of Internet e-commerce, can solve problems such as low accuracy and uninterested consumers

Active Publication Date: 2021-09-14
杭州东典科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there will still be a large number of products that consumers are not interested in in the matching results of the system, and the accuracy is not high

Method used

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  • Product customer big data applicable matching system and computer storage medium
  • Product customer big data applicable matching system and computer storage medium
  • Product customer big data applicable matching system and computer storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] A matching system for product customers based on big data, including a merchant client, a central server and a consumer client, the merchant client is used to upload products and extract product labels, and the consumer client is used to The browsing and purchase records generate characteristic data, and the central server performs matching according to the product label and characteristic data and sends applicable product information to the consumer client;

[0037] It is characterized in that the tags extracted by the merchant client include numerical tags and general tags, and the numerical tags are divided into several levels;

[0038] The feature data generated by the consumer client includes browsing feature data and purchase feature data, the browsing feature data is the cumulative number of browsing times of the general label of the commodity, and the purchase feature data is the ratio statistical distribution of the numerical label of the commodity;

[0039] Th...

Embodiment 2

[0056] A matching system for product customers based on big data, including a merchant client, a central server and a consumer client, the merchant client is used to upload products and extract product labels, and the consumer client is used to The browsing and purchase records generate characteristic data, and the central server performs matching according to the product label and characteristic data and sends applicable product information to the consumer client;

[0057] It is characterized in that the tags extracted by the merchant client include numerical tags and general tags, and the numerical tags are divided into several levels;

[0058] The feature data generated by the consumer client includes browsing feature data and purchase feature data, the browsing feature data is the cumulative number of browsing times of the general label of the commodity, and the purchase feature data is the ratio statistical distribution of the numerical label of the commodity;

[0059] Th...

Embodiment 3

[0079] A matching system for product customers based on big data, including a merchant client, a central server and a consumer client, the merchant client is used to upload products and extract product labels, and the consumer client is used to The browsing and purchase records generate characteristic data, and the central server performs matching according to the product label and characteristic data and sends applicable product information to the consumer client;

[0080] It is characterized in that the tags extracted by the merchant client include numerical tags and general tags, and the numerical tags are divided into several levels;

[0081] The feature data generated by the consumer client includes browsing feature data and purchase feature data, the browsing feature data is the cumulative number of browsing times of the general label of the commodity, and the purchase feature data is the ratio statistical distribution of the numerical label of the commodity;

[0082] Th...

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PUM

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Abstract

The invention provides a product customer big data application matching system and a computer storage medium, and the system comprises a product input module, a product analysis module, a user analysis module, an application matching module, a fixed-point delivery module and a fixed-point feedback module, a merchant uses the product input module to upload related data of a product, the product analysis module analyzes the uploaded data to obtain a plurality of labels, the user analysis module analyzes feature data of users based on browsing and shopping records of the users, and the suitability matching module calculates the suitability of products to each user according to the labels and the feature data, the fixed-point delivery module carries out message delivery on the product with the use degree exceeding a threshold value to the user, and the fixed-point feedback module carries out recording feedback according to the response of the user to the delivered product message; according to the system, accurate product delivery can be realized, and a win-win effect between merchants and consumers is achieved.

Description

technical field [0001] The invention relates to the technical field of Internet e-commerce, in particular to a matching system for product customers based on big data. Background technique [0002] How to accurately deliver products to target customers is a problem in the current Internet e-commerce. The more accurate the product customer matching, the lower the cost and the higher the income. For consumers, the current Internet is full of A large amount of irrelevant product information reduces the experience of consumers and increases the difficulty for consumers to obtain interested products. How to achieve a win-win situation between merchants and consumers in the process of product launch is the problem to be solved by this system . [0003] Many product matching systems have been developed now. After a lot of searching and reference, we found that the existing matching systems are like the systems disclosed by the publication numbers KR101099309B1, KR101037821B1 and K...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q30/06
CPCG06Q30/0203G06Q30/0631
Inventor 朱雯龙麒任何辉
Owner 杭州东典科技有限公司
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