Enhancing Predictive Models in E-Commerce: A Comparative Study Using XGBoost Across Diverse Scenarios
With the growth of the internet, online shopping has become increasingly popular. However, sudden demand spikes during holidays or special events can disrupt market equilibrium, causing stock shortages and logistical challenges. To address these sudden surges in demand, this study utilizes existing...
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| Main Author: | Zhang Jianhao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
|
| Series: | ITM Web of Conferences |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2025/01/itmconf_dai2024_02014.pdf |
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