Method for Abnormal Users Detection Oriented to E-commerce Network

Method for Abnormal Users Detection Oriented to E-commerce Network

In the e-commerce network,abnormal users often show different behavioral characteristics from normal users.Detecting abnormal users and analyzing their behavior patterns is of great practical significance to maintaining the order of e-commerce platforms.By analyzing the behavior patterns of abnormal...

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Bibliographic Details
Main Author: DU Hang-yuan, LI Duo, WANG Wen-jian
Format: Article
Language:zho
Published: Editorial office of Computer Science 2022-07-01
Series:Jisuanji kexue
Subjects:
anomaly detection|e-commerce network|heterogeneous information network|self-supervised learning|autoenco-der|support vector data description
Online Access:https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-49-7-170.pdf

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https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-49-7-170.pdf

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