The dataset consists of feature vectors belonging to 12,330 sessions. The dataset was formed so that each session would belong to a different user in a 1-year period to avoid any tendency to a specifi
The database used in the article "Pattern Mining and Prediction Methods for User Behavior Trajectory in E-Commerce" comes from the following sources: [https://tianchi.aliyun.com/dataset/103996](https:
Share of people who abandoned the purchase of a product from an online store due to the inability to pay by buy now, pay later (BNPL) in Poland in 2023, by age
