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E-COMMERCE: 作品数：510被引量：305H指数：6; 导出分析报告; 相关领域：经济管理更多>>; 相关作者：孙德林杨敏李晶王文韬刘康更多>>; 相关机构：对外经济贸易大学清华大学上海交通大学浙江师范大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金中国博士后科学基金国家社会科学基金国家高技术研究发展计划更多>>

E-Commerce Fraud Detection Based on Machine Learning Techniques:Systematic Literature Review被引量：1: 《Big Data Mining and Analytics》2024年第2期419-444,共26页Abed Mutemi Fernando Bacao; The e-commerce industry’s rapid growth,accelerated by the COVID-19 pandemic,has led to an alarming increase in digital fraud and associated losses.To establish a healthy e-commerce ecosystem,robust cyber security and...; 关键词：E-COMMERCE Machine Learning(ML) systematic review fraud detection organized retail fraud

Composite Recommendation of Artworks in E-Commerce Based on User Keyword-Driven Correlation Graph Search: 《Tsinghua Science and Technology》2024年第1期174-184,共11页Jingyun Zhang Wenjie Zhu Byoung Jin Ahn Yongsheng Zhou; 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 th...; 关键词：composite recommendation artwork user keywords E-COMMERCE correlation graph search

SGNR: A Social Graph Neural Network Based Interactive Recommendation Scheme for E-Commerce被引量：2: 《Tsinghua Science and Technology》2023年第4期786-798,共13页Dehua Ma Yufeng Wang Jianhua Ma Qun Jin; Interactive Recommendation(IR)formulates the recommendation as a multi-step decision-making process which can actively utilize the individuals’feedback in multiple steps and optimize the long-term user benefit of rec...; 关键词：Interactive Recommendation(IR) Deep Reinforcement Learning(DRL) Graph Neural Network(GNN)

Cross-Border E-Commerce Shows Diversified and Personalized: 《China's Foreign Trade》2023年第3期37-39,共3页Audrey Guo; Recently,major cross-border e-commerce platforms have explored and laid out AI.On May 24,OKKI,a subsidiary of Alibaba,was upgraded with AI to help foreign trade enterprises operate efficiently.On May 25,TikTok announc...; 关键词：SUBSIDIARY ROBOT ENTERPRISES

Enhanced E-commerce Fraud Prediction Based on a Convolutional Neural Network Model: 《Computers, Materials & Continua》2023年第4期1107-1117,共11页Sumin Xie Ling Liu Guang Sun Bin Pan Lin Lang Peng Guo; supported by the National Natural Science Foundation of China (No.72073041,No.61903131);2020 Hunan Provincial Higher Education Teaching Reform Research Project (Nos.HNJG-2020-1130,HNJG-2020-1124);2020 General Project of Hunan Social Science Fund (No.20B16);Outstanding Youth of Department of Education of Hunan Province (No.20B096)and the China Postdoctoral Science Foundation (No.2020M683715).; The rapidly escalating sophistication of e-commerce fraud in recent years has led to an increasing reliance on fraud detection methods based on machine learning.However,fraud detection methods based on conventional ma...; 关键词：CNN model detection E-COMMERCE FRAUD

FS-LSTM:sales forecasting in e-commerce on feature selection: 《The Journal of China Universities of Posts and Telecommunications》2022年第5期92-98,共7页Zhang Han Jing Yinji Zhao Yongli; There are many studies on sales forecasting in e-commerce,most of which focus on how to forecast sales volume with related e-commerce operation data.In this paper,a deep learning method named FS-LSTM was proposed,whic...; 关键词：sales forecasting time series forecasting deep learning feature selection

Prediction of Online Consumers’Repeat Purchase Behavior via BERT-MLP Model: 《Journal of Electronic Research and Application》2022年第3期12-19,共8页Junchao Dong Tinghui Huang Liang Min Wenyan Wang; Shaanxi Provincial Education Science Regulations“Fourteenth Five-Year Plan”Project“Research on the Application of Educational Data Mining in Applied Undergraduate Teaching:A Case Study of‘Computer Application Technology’Course”(Project Number:SGH21Y0403);The 2020 Bureau of Shaanxi Provincial Sports Regular Project(Project Number:2021392);The Special Research Project of Xi’an Jiaotong University City College(Project Number:KCSZ01005)。; It is an effective means for merchants to carry out precision marketing and improve ROI by using historical user behavior data obtained from promotional activities in order to build a model to predict the repeat purch...; 关键词：Data mining Business intelligence E-COMMERCE BERT Multilayer perceptron

Sentiment Analysis of Roman Urdu on E-Commerce Reviews Using Machine Learning被引量：1: 《Computer Modeling in Engineering & Sciences》2022年第6期1263-1287,共25页Bilal Chandio Asadullah Shaikh Maheen Bakhtyar Mesfer Alrizq Junaid Baber Adel Sulaiman Adel Rajab Waheed Noor; the Deputy for Study and Innovation,Ministry of Education,Kingdom of Saudi Arabia,for funding this research through a Grant(NU/IFC/INT/01/008)from the Najran University Institutional Funding Committee.; Sentiment analysis task has widely been studied for various languages such as English and French.However,Roman Urdu sentiment analysis yet requires more attention from peer-researchers due to the lack of Off-the-Shelf...; 关键词：Sentiment analysis Roman Urdu machine learning SVM

Forecasting E-Commerce Adoption Based on Bidirectional Recurrent Neural Networks被引量：1: 《Computers, Materials & Continua》2022年第3期5091-5106,共16页Abdullah Ali Salamai Ather Abdulrahman Ageeli El-Sayed M.El-kenawy; E-commerce refers to a system that allows individuals to purchase and sell things online.The primary goal of e-commerce is to offer customers the convenience of not going to a physical store to make a purchase.They wi...; 关键词：Neural networks E-COMMERCE forecasting risk management machine learning

A Statistical Analysis of Textual E-Commerce Reviews Using Tree-Based Methods: 《Open Journal of Statistics》2022年第3期357-372,共16页Jessica Kubrusly Ana Luiza Neves Thamires Louzada Marques; With the increasing interest in e-commerce shopping, customer reviews have become one of the most important elements that determine customer satisfaction regarding products. This demonstrates the importance of working...; 关键词：Text Mining Supervised Classification Tree-Based Methods Classification Trees Random Forest Gradient Boosting XGBoost

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