Predicting Purchasing Behavior on E-Commerce Platforms: A Regression Model Approach for Understanding User Features that Lead to Purchasing

ISSN Print: 1913-3715
ISSN Online: 1913-3723
www.scirp.net/journal/ijcns
E-mail: [email protected]

Citations

"Predicting Purchasing Behavior on E-Commerce Platforms: A Regression Model Approach for Understanding User Features that Lead to Purchasing"
written by Abraham Jallah Balyemah, Sonkarlay J. Y. Weamie, Jiang Bin, Karmue Vasco Jarnda, Felix Jwakdak Joshua,
published by International Journal of Communications, Network and System Sciences, Vol.17 No.6, 2024

has been cited by the following article(s):

No relevant information.

[1]	Exploring Consumer Behavior in E-Commerce with AI Personalization and Market Trends Analysis Models 2025 3rd International Conference on Integrated Circuits and Communication Systems (ICICACS), 2025 DOI:10.1109/ICICACS65178.2025.10967904

[2]	Data-Driven Customer Segmentation in E-Commerce using K-Means Clustering for Personalized Marketing Strategies 2025 3rd International Conference on Data Science and Information System (ICDSIS), 2025 DOI:10.1109/ICDSIS65355.2025.11071130

[3]	Fuzzy Logic and Machine Learning Hybrid Model for Influencing Consumer Purchasing Behavior in E-Commerce 2025 International Conference on Computing Technologies & Data Communication (ICCTDC), 2025 DOI:10.1109/ICCTDC64446.2025.11158906

[4]	Multimodal Banking Dataset: Understanding Client Needs through Event Sequences Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025 DOI:10.1145/3746252.3761635