| Issue |
E3S Web Conf.
Volume 351, 2022
10th International Conference on Innovation, Modern Applied Science & Environmental Studies (ICIES’2022)
|
|
|---|---|---|
| Article Number | 01070 | |
| Number of page(s) | 4 | |
| DOI | https://doi.org/10.1051/e3sconf/202235101070 | |
| Published online | 24 May 2022 | |
Predicting the client’s purchasing intention using Machine Learning models
LIST laboratory, STI Doctoral Center, University Abdelmalek Essaadi, Morocco
* Corresponding author: sara.ahsain@etu.uae.ac.ma AND m.aitkbir@fstt.ac.ma
In this paper, we introduce a prediction algorithm that will determine the likelihood that a client will purchase from a website or not. This system is part of a global e-commerce solution that will help the clients to get the best possible experience. The paper presents an overview of the e-commerce system’s various components and their various steps and also an activity diagram of the system, which shows the various steps that the platform can perform. It also provides a general idea of the system’s workflow.
Key words: Digital Marketing / Innovation / Machine Learning / e-commerce platform
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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