E-commerce platform user behavior discrimination system

By establishing a model based on user trading habits on an e-commerce platform and identifying and handling abnormal transaction orders, the problem that the existing technology cannot effectively identify abnormal user trading behaviors is solved, and the effect of optimizing shopping experience and reducing losses is achieved.

CN119693091APending Publication Date: 2025-03-25ZHEJIANG ECONOMIC & TRADE POLYTECHNIC +1
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Patent Information

Application Number
CN202411777611.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-05
Publication Date
2025-03-25

AI Technical Summary

Technical Problem

The existing technology cannot effectively identify the abnormal parts of the transaction behavior of e-commerce platform users, affecting users' correct judgment and consumption experience of goods, and frequent purchases of goods and sudden large-scale purchases of expensive goods may lead to resource occupation and property losses.

Method used

By setting up a system on the e-commerce platform that records user transaction behavior, compares user new transaction data and model data, handles user abnormal transaction orders and temporary record steps for user abnormal new transaction behavior, a model based on user transaction habits is established to identify and process abnormal transaction orders.

Benefits of technology

It has realized the judgment and identification of users' abnormal new transaction behaviors, avoided the behaviors such as order brushing, malicious refunds and children's misoperation, optimized the shopping experience of the e-commerce platform, and reduced unnecessary losses to stores and consumers.

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Abstract

The invention relates to the technical field related to network security, in particular to an e-commerce platform user behavior screening system which comprises a user transaction behavior recording step, a user new transaction data and model data comparison step, a user abnormal transaction order processing step and a user abnormal new transaction behavior temporary storage recording step. An electronic commerce platform user behavior discrimination system composed of a user transaction behavior recording step, a user new transaction data and model data comparison step, a user abnormal transaction order processing step and a user abnormal new transaction behavior temporary storage recording step is arranged, so that the user abnormal new transaction behavior is judged. Therefore, behaviors such as scalping, frequent purchase and return of goods and sudden purchase of a large number of expensive goods are identified, so that behaviors such as scalping, malicious refund and misoperation of children are prevented from being identified to a certain extent, and the purposes of optimizing shopping experience of an e-commerce platform and reducing unnecessary loss of shops and consumers are achieved.
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