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e-commerce Fraud Detection Based on Machine Learning Techniques:Systematic Literature Review

Big Data Mining and Analytics 2024年第2期7卷 419-444页

作者： Abed Mutemi Fernando Bacao NOVA Information Management School(NOVA IMS) Universidade Nova de LisboaCampus de CampolideLisboa 1070-312Portugal

The e-commerce industry’s rapid growth,accelerated by the COVID-19 pandemic,has led to an alarming increase in digital fraud and associated *** establish a healthy e-commerce ecosystem,robust cyber security and anti-fraud measures are ***,research on fraud detection systems has struggled to keep pace due to limited real-world *** in artificial intelligence,Machine Learning(ML),and cloud computing have revitalized research and applications in this *** ML and data mining techniques are popular in fraud detection,specific reviews focusing on their application in e-commerce platforms like eBay and Facebook are lacking *** reviews provide broad overviews but fail to grasp the intricacies of ML algorithms in the e-commerce *** bridge this gap,our study conducts a systematic literature review using the Preferred Reporting Items for Systematic reviews and Meta-Analysis(PRISMA)*** aim to explore the effectiveness of these techniques in fraud detection within digital marketplaces and the broader e-commerce *** the current state of the literature and emerging trends is crucial given the rising fraud incidents and associated *** our investigation,we identify research opportunities and provide insights to industry stakeholders on key ML and data mining techniques for combating e-commerce *** paper examines the research on these techniques as published in the past *** the PRISMA approach,we conducted a content analysis of 101 publications,identifying research gaps,recent techniques,and highlighting the increasing utilization of artificial neural networks in fraud detection within the industry.

关键词： e-commerce Machine Learning(ML) systematic review fraud detection organized retail fraud

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Composite Recommendation of Artworks in e-commerce Based on User Keyword-Driven Correlation Graph Search

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Tsinghua Science and Technology 2024年第1期29卷 174-184页

作者： Jingyun Zhang Wenjie Zhu Byoung Jin Ahn Yongsheng Zhou School of Design Dongseo UniversityBusan 47011Republic of Korea Institute of Art and Design Jiangsu University of TechnologyChangzhou 213001China Jinling Wenyun Art Design Co. Ltd.Zhenjiang 212000China Institute of Art and Design Krirk UniversityBangkok 10220Thailand Shandong Provincial University Laboratory for Protected Horticulture Weifang University of Science and TechnologyShouguang 262700China

With the ever-increasing diversification of people’s interests and preferences,artwork has become one of the most popular commodities or investment goods in e-commerce,and it increasingly attracts the attention of the ***,many real-world or virtual artworks can be found in e-commerce,and finding a means to recommend them to appropriate users has become a significant task to alleviate the heavy burden on artwork selection decisions by *** research mainly studies the problem of single-artwork recommendation while neglecting the more practical but more complex composite recommendation of artworks in e-commerce,which considerably influences the quality of experience of potential users,especially when they need to select a set of artworks instead of a single *** by this limitation,we put forward a novel composite recommendation approach to artworks by a user keyword-driven correlation graph search named ART_(com-rec).Through ART_(com-rec),the recommender system can output a set of artworks(e.g.,an artwork composite solution)in e-commerce by considering the keywords typed by a user to indicate his or her personalized ***,we validate the feasibility of the ART_(com-rec) approach by a set of simulated experiments on a real-world PW dataset.

关键词： composite recommendation artwork user keywords e-commerce correlation graph search

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SMeC:Scene Mining for e-commerce

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Journal of Computer Science & Technology 2024年第1期39卷 192-210页

作者：王罡李翔郭子义殷大伟马帅 State Key Laboratory of Software Development environment Beihang UniversityBeijing 100191China School of Data Science and engineering East China Normal UniversityShanghai 200062China *** Inc.Beijing 100176China Baidu Inc.Beijing 100085China

Scene-based recommendation has proven its usefulness in e-commerce,by recommending commodities based on a given ***,scenes are typically unknown in advance,which necessitates scene discovery for *** this article,we study scene discovery for e-commerce *** first formalize a scene as a set of commodity cate-gories that occur simultaneously and frequently in real-world situations,and model an e-commerce platform as a heteroge-neous information network(HIN),whose nodes and links represent different types of objects and different types of rela-tionships between objects,*** then formulate the scene mining problem for e-commerce as an unsupervised learning problem that finds the overlapping clusters of commodity categories in the *** solve the problem,we pro-pose a non-negative matrix factorization based method SMeC(Scene Mining for e-commerce),and theoretically prove its *** six real-world e-commerce datasets,we finally conduct an extensive experimental study to evaluate SMeC against 13 other methods,and show that SMeC consistently outperforms its competitors with regard to various evaluation measures.

关键词： graph clustering e-commerce heterogeneous information network(HIN) scene mining

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Research on Credit Regulation Mechanism of e-commerce Platform Based on evolutionary Game Theory

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Journal of Systems Science and Systems engineering 2024年第3期33卷 330-359页

作者： Zeguo Qiu Yuchen Yin Yao Yuan Yunhao Chen School of Computer and Information engineering Harbin University of CommerceHarbin150028China School of Management Harbin University of CommerceHarbin150028China

In the growing e-commerce industry,the problem of malicious business operations has become increasingly prominent,exposing many problems such as weak supervision of e-commerce platforms and no way for consumers to *** order to solve the problems of counterfeit and shoddy products on e-commerce platforms and promote the sustainable development of the e-commerce industry in China,this paper constructs a three-party evolutionary game model of e-commerce platforms,merchants,and consumers,investigates the influence of each influencing factor on each party’s strategy choice,and provides targeted suggestions to e-commerce platforms based on relevant ***,the impact of several important parameters on the equilibrium solution is discussed through sensitivity *** results show that:1)the smaller the cost difference between active and negative regulation,the more the e-commerce platform tends to active regulation strategy,but increasing fines for dishonest merchants and consumer complaints have little impact on the e-commerce platform;2)increasing consumer compensation,creating an honest business environment,and reducing the cost of honest business all help companies tend to operate in good faith;3)the only factor that affects the tendency of consumer complaint strategies is the cost of *** loss suffered by silence and the compensation given to consumers have little effect on consumers’tendency to complain *** results can provide theoretical guidance for participants to make useful strategic decisions in the e-commerce market.

关键词： evolutionary game e-commerce data simulation

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Interregional Value-Added Tax in the era of e-commerce: Tax Policy Design Based on Big Data from Online Retailing

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Journal of Social Computing 2024年第1期5卷 46-57页

作者： Yu Chen Luwei Xiang Hu Yang School of Public Finance and Taxation Central University of Finance and EconomicsBeijing 100008China School of Management and economics The Chinese University of Hong KongShenzhen 518172China School of Information Central University of Finance and EconomicsBeijing 100008China

The value-added tax(VAT)in China is levied and allocated based on the origin *** the background of the increasing substitution of online retail for traditional offline retail,this mechanism will exacerbate the disparity of regional tax revenue,and intensify tax competition among local ***,reconsidering the allocation mechanism of value-added tax in China can be an important policy decision,and it is influenced by various economic and social ***,we utilize large-scale retail transaction data from an e-commerce platform to measure regional disparities in retail and consumption among different regions and then reveals present tax policy results in revenue imbalance in different ***,we establish a model based on game theory to illustrate how the origin principle leads to fierce tax competition among ***,by establishing and solving tax allocation models between local governments and the central government,this study simulates and calculates the degree of revenue imbalance under different scenarios and attempts to propose policy *** results indicate that implementing the destination principle will reduce regional tax ***,adjusting the allocation ratio between the central government and local governments based on city levels is advantageous for further reducing regional tax revenue disparities.

关键词： value-added tax e-commerce destination principle origin principle

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Detecting compromised accounts caused by phone number recycling on e-commerce platforms: taking Meituan as an example

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Frontiers of Information Technology & electronic engineering 2024年第8期25卷 1077-1095页

作者： Min GAO Shutong CHeN Yangbo GAO Zhenhua ZHANG Yu CHeN Yupeng LI Qiongzan Ye Xin WANG Yang CHeN School of Computer Science Fudan UniversityShanghai 200438China Shanghai Key Lab of Intelligent Information Processing Fudan UniversityShanghai 200438China Meituan Beijing 100005China Department of Interactive Media Hong Kong Baptist UniversityHong Kong 999077China

Phone number recycling(PNR)refers to the event wherein a mobile operator collects a disconnected number and reassigns it to a new *** has posed a threat to the reliability of the existing authentication solution for e-commerce ***,a new owner of a reassigned number can access the application account with which the number is associated,and may perform fraudulent *** solutions that employ a reassigned number database from mobile operators are costly for e-commerce platforms with large-scale ***,alternative solutions that depend on only the information of the applications are *** this work,we study the problem of detecting accounts that have been compromised owing to the reassignment of phone *** analysis on Meituan's real-world dataset shows that compromised accounts have unique statistical features and temporal *** on the observations,we propose a novel model called temporal pattern and statistical feature fusion model(TSF)to tackle the problem,which integrates a temporal pattern encoder and a statistical feature encoder to capture behavioral evolutionary interaction and significant operation *** experiments on the Meituan and Ieee-CIS datasets show that TSF significantly outperforms the baselines,demonstrating its effectiveness in detecting compromised accounts due to reassigned numbers.

关键词： Phone number recycling Neural networks e-commerce Compromised account detection

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e-commerce,Pandemic Shock,and the Survival of Small and Medium enterprises

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China & World economy 2024年第5期32卷 113-139页

作者： Zengdong Cao Qin Tu Nichola Latoya Williams Business School Beijing Normal UniversityChina Center for Innovation and Development Studies Beijing Normal UniversityChina Department of Finance and economics Sheffield Hallam UniversityUnited Kingdom

This study examines the impact of e-commerce on the survival rate of small and medium enterprises(SMes)during the COVID-19 pandemic using a combined dataset from the enterprise Survey for Innovation and entrepreneurship in China for the period from 2018 to *** conducted a difference-in-differences analysis by exploiting the variation in the adoption of e-commerce across SMes before and after the outbreak of *** results show that e-commerce had a significantly positive effect on the survival rate of SMes during the ***,it improved the survival rate of SMes by 3.0 to 3.4 percentage points by expanding the scale of the enterprises'markets,mitigating declines in orders,shortening the repayment periods of accounts receivable,and improving cash flow during a *** analysis reveals that the impact of e-commerce was more pronounced for SMes with a larger share of online sales and for labor-intensive SMes,and third-party e-commerce platforms or Web sites played a bigger role than self-built Web sites and social *** study offers novel evidence highlighting the value of digitalization for firms during the crisis.

关键词： COVID-19 pandemic difference-in-differences e-commerce survival rate

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e-commerce Supply Chain Process Optimization Based on Whole-Process Sharing of Internet of Things Identification Technology

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Computer Modeling in engineering & Sciences 2021年第2期126卷 843-854页

作者： Shiyan Xu Jun Chen Maoguo Wu Chenyang Zhao School of economics and Management Tongji UniversityShanghai200092China SILC Business School Shanghai UniversityShanghai201800China

With in-depth development of the Internet of Things(IoT)in various industries,the informatization process of various industries has also entered the fast *** article aims to solve the supply chain process problem in e-commerce,focusing on the specific application of Internet of Things technology in *** logistics is an important link in today’s e-commerce *** article proposes a distributed analysis method for RFID-based e-commerce warehousing process optimization and an e-commerce supply chain management process based on Internet of Things *** article first introduces the advantages and disadvantages of shared IoT identification technology and the IoT resource sharing platform based on the three-layer abstract data model and representational state transfer(ReST)*** actual IoT applications and the characteristics of an existing platform,a ReST-based IoT resource sharing platform is *** with actual projects,a ReST-based IoT resource sharing platform was built,and key technology experiments were conducted for ***,optimizing the e-commerce supply chain management process under Internet of Things technology and explaining the advantages of optimized e-commerce supply chain management are *** on this subject provides a theoretical basis for the application of the Internet of Things in e-commerce and has practical significance and practical value for managing service capabilities and service levels in e-commerce.

关键词： Shared IoT identification technology e-commerce supply chain process optimization

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e-commerce development in rural and remote areas of BRICS countries

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Journal of Integrative Agriculture 2021年第4期20卷 979-997页

作者： Karine HAJI Institute for International economics and Finance Russian Foreign Trade AcademyMoscow 119285Russia

e-commerce plays an essential role in modern trade *** is expected that e-commerce volume amounted to 29 trillion USD in the world in 2017,and would grow with the spread of the Internet and information and communication technologies(ICTs).Brazil,Russia,India,China and South Africa(BRICS),together with many others,consider e-commerce a means to facilitate rapid,inclusive and sustainable economic growth,improving the living standards and alleviating *** article examines areas for potential cooperation by BRICS countries in e-commerce development across rural and remote areas to fight *** analyses the current state of e-commerce development in rural and remote areas in each of the BRICS countries,including cases of public and private initiatives to support *** article also defines the opportunities which e-commerce brings to people living in rural and remote ***,it evaluates the existing challenges and *** article concludes that despite the rapid e-commerce development in BRICS countries,and significant opportunities created,there are still issues of disproportionate e-commerce in varied regions and the lack of BRICS cooperation in this *** on a comparative and normative in-depth,systematic analysis,the article develops a set of recommendations for deepening BRICS countries'cooperation in the following areas:infrastructure in rural and remote regions;education;consumer protection;online dispute resolution;coordinated policy in the international scene,including representation of BRICS countries in international indexes,such as the Organization of economic Co-operation and Development(OeCD)Digital Services Trade Restrictiveness Index(STRI).

关键词： e-commerce BRICS poverty alleviation international cooperation remote and rural areas ICT infrastructure educational cooperation online dispute resolution consumer protection online Digital STRI

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Integrating OWA and Data Mining for Analyzing Customers Churn in e-commerce

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Journal of Systems Science & Complexity 2015年第2期28卷 381-392页

作者： CAO Jie YU Xiaobing ZHANG Zhifei Collaborative Innovation Center on Forecast and evaluation of Meteorological Disasters Nanjing University of Information Science & Technology Information Center of Jiangsu Province

Customers are of great importance to e-commerce in intense *** is known that twenty percent customers produce eighty percent ***,how to find these customers is very *** lifetime value(CLV) is presented to evaluate customers in terms of recency,frequency and monetary(RFM) variables.A novel model is proposed to analyze customers purchase data and RFM variables based on ordered weighting averaging(OWA) and K-Means cluster *** is employed to determine the weights of RFM variables in evaluating customer lifetime value or loyalty.K-Means algorithm is used to cluster customers according to RFM *** customers could be found out by comparing RFM values of every cluster group with average *** is conducted to investigate which reasons cause customers *** these reasons to help e-commerce improve *** experimental results have demonstrated that the model is effective and reasonable.

关键词： Customer life value e-commerce K-means OWA.

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