Towards early purchase intention prediction in online session based retailing systems

R Esmeli, M Bader-El-Den, H Abdullahi - Electronic Markets, 2021 - Springer
Purchase prediction has an important role for decision-makers in e-commerce to improve
consumer experience, provide personalised recommendations and increase revenue. Many …

Customer purchase forecasting for online tourism: A data-driven method with multiplex behavior data

S Chen, X Wang, H Zhang, J Wang, J Peng - Tourism Management, 2021 - Elsevier
Online tourism has received increasing attention from scholars and practitioners due to its
growing contribution to the economy. While related issues have been studied, research on …

[HTML][HTML] An analyses of the effect of using contextual and loyalty features on early purchase prediction of shoppers in e-commerce domain

R Esmeli, M Bader-El-Den, H Abdullahi - Journal of Business Research, 2022 - Elsevier
Online sales have been growing rapidly in recent years. With the growing competition,
online retailers have been keen to increase the effectiveness of their e-commerce platforms …

[PDF][PDF] Data mining model for predicting customer purchase behavior in e-commerce context

OA Alghanam, SN Al-Khatib… - International Journal of …, 2022 - pdfs.semanticscholar.org
Nowadays e-commerce environment plays an important role to exchange commodity
knowledge between consumers commonly with others. Accurately predicting customer …

Estimating the Acceptance Probabilities of Consumer Loan Offers in an Online Loan Comparison and Brokerage Platform

R Špicas, A Neifaltas, R Kanapickienė… - Risks, 2023 - mdpi.com
It is widely recognised that the ability of e-commerce businesses to predict conversion
probability, ie, acceptance probability, is critically important in today's business environment …

Intelligent personalized shopping recommendation using clustering and supervised machine learning algorithms

N Chabane, A Bouaoune, R Tighilt, M Abdar, A Boc… - Plos one, 2022 - journals.plos.org
Next basket recommendation is a critical task in market basket data analysis. It is particularly
important in grocery shopping, where grocery lists are an essential part of shopping habits of …

An anticipatory shipping system for online retailers via mining customer behavior in large e-commerce promotion

B Yang, X Xu, J Cao, K Zeng, Z Yu - Electronic Commerce Research and …, 2024 - Elsevier
The anticipatory shipping practiced by online retailers plays an important role in improving
customer satisfaction. However, online retailers face a new challenge in anticipatory …

[PDF][PDF] Prediction of customer behavior using machine learning: A case study

TD Quynh, HTT Dung - … of the 2nd International Conference on Human …, 2021 - ceur-ws.org
Understanding what customers want and need-and, ideally, anticipating their needs-is a
constant challenge for marketers. With the advent of machine learning, researchers have …

A two-stage differential evolutionary algorithm for deep ensemble model generation

H Zhao, C Zhang, B Xue, M Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Deep ensemble models have been demonstrated to show promising generalization
capability. A deep ensemble model includes several deep neural networks as base …

An Extensive Review and Comparison of Different Machine Learning Algorithms for Customer Behaviour Pattern Analysis

S Garg, P Ajmani, T Singh, D Aggarwal… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
Consumer shopping behavior is changing due to the explosive growth of e-commerce,
which brings both benefits and challenges. E-commerce enterprises must comprehend the …