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User group division method based on anti-fake traceability system and system thereof

A user group and user technology, applied in the field of anti-counterfeiting and traceability, can solve the problems of insufficient comprehensive user-related characteristic information and ineffective mining of data information value, etc., and achieve the effect of high robustness, large amount of calculation, and obvious effect

Inactive Publication Date: 2017-09-29
SYSU CMU SHUNDE INT JOINT RES INST +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The anti-counterfeiting traceability system of the above-mentioned existing scheme has not effectively tapped the value of the data information obtained by the system. Traditional e-commerce platforms only use the data related to online shopping of users to divide user groups, and the collected user-related feature information is not comprehensive enough.

Method used

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  • User group division method based on anti-fake traceability system and system thereof
  • User group division method based on anti-fake traceability system and system thereof
  • User group division method based on anti-fake traceability system and system thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0046] Such as figure 1 As shown, a user group division method based on an anti-counterfeiting traceability system includes the following steps:

[0047] S1: Obtain the characteristic information of the user, the characteristic information of the commodity and the characteristic information of the query;

[0048] S2: According to the obtained information, use data cleaning, data integration, data transformation and data reduction methods to preprocess the data, and obtain the sample set D, D={x 1 ,x 2 ,...,x m} contains m unlabeled samples, each sample x i =(x i1 ; x i2 ,...,xin ) is an n-dimensional feature vector, which reflects the relevant feature information of the user;

[0049] S3: According to the sample set obtained by preprocessing, use the improved fuzzy clustering algorithm to divide and mark the user groups, and obtain the classification model at the same time;

[0050] S4: Divide the new users according to the classification model, and correct the model pa...

Embodiment 2

[0072] Such as figure 2 As shown, a user group classification system based on an anti-counterfeiting traceability system includes:

[0073] Information collection module 201: used to collect information required for clustering, user feature information, product feature information and query feature information;

[0074] Information preprocessing module 202: used for preprocessing the data obtained by the information collection module, the obtained sample set D={x 1 ,x 2 ,...,x m} contains m unlabeled samples, each sample x i =(x i1 ; x i2 ,...,x in ) is an n-dimensional feature vector, which reflects the relevant feature information of the user;

[0075] Fuzzy clustering module 203: used to divide D into k disjoint clusters {C l |l=1,2,...,k}, where and lambda j ∈{1,2,...,k} represents the "cluster label", that is A cluster label vector λ containing m elements j =(λ 1 ,λ 2 ,...,λ m ) represents the result of clustering, which reflects the division of user g...

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Abstract

The invention provides a user group division method based on an anti-fake traceability system and a system thereof. A user inquires commodity authenticity through the anti-fake traceability system. Through combining characteristic information of the user, characteristic information of a commodity, and query information, a user group is divided so that later marketing of a merchant and manufacturer production possess pertinence. Information acquired by the anti-fake traceability system is fully excavated and system creativity is increased.

Description

technical field [0001] The present invention relates to the field of anti-counterfeit traceability, and more specifically, to a user group division method and system based on an anti-counterfeit traceability system. Background technique [0002] In the current anti-counterfeiting traceability system, consumers can query the whole process information of the product from production to distribution and then to their own hands through the RFID or QR code pasted on the product. The system receives user features and product features, and returns product authenticity results, product production, production, wholesale, retail and other links records. The e-commerce platform collects users' online shopping information and recommends products to users based on their past purchase records. [0003] The anti-counterfeiting traceability system of the above-mentioned existing scheme has not effectively tapped the value of the data information obtained by the system. Traditional e-commerc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/00G06Q30/02G06K9/62
CPCG06Q30/0185G06Q30/0201G06F18/24137
Inventor 胡建国晏斌林培祥邓成谦黄家诚李凯祥
Owner SYSU CMU SHUNDE INT JOINT RES INST
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