Ausgabe 1/2022
Special Issue: Deep Learning Applications in e-Commerce
Inhalt (11 Artikel)
Study on early warning of E-commerce enterprise financial risk based on deep learning algorithm
Yali Cao, Yue Shao, Hongxia Zhang
Estimating user response rate using locality sensitive hashing in search marketing
Maryam Almasharawi, Ahmet Bulut
Analyzing default risk among P2P platforms based on the LAS-STACK method by considering multidimensional signals under specific economic contexts
Kun Liang, Chen Zhang, Cuiqing Jiang
Spam review detection using LSTM autoencoder: an unsupervised approach
Sunil Saumya, Jyoti Prakash Singh
Dissecting click farming on the Taobao platform in China via PU learning and weighted logistic regression
Cuixia Jiang, Jun Zhu, Qifa Xu
Optimal pricing decision of composite service offered by network providers in E-commerce environment
Zheng Liu, Hangxin Guo, Yuanjun Zhao, Bin Hu, Xiaodong Ji, Lingling Lang, Lihua Shi
Estimating city-level poverty rate based on e-commerce data with machine learning
Dedy Rahman Wijaya, Ni Luh Putu Satyaning Pradnya Paramita, Ana Uluwiyah, Muhammad Rheza, Annisa Zahara, Dwi Rani Puspita
Correction
Correction to: Employing singular value decomposition and similarity criteria for alleviating cold start and sparse data in context-aware recommender systems
Keyvan Vahidy Rodpysh, Seyed Javad Mirabedini, Touraj Banirostam