Research Article

Research on Segmenting E-Commerce Customer through an Improved K-Medoids Clustering Algorithm

Table 2

The fields and descriptions in the dataset.

Field nameData typeField description

Customer_unique_idIntCustomer’s unique identification
Order_idIntOrder identification
Product_idIntProduct identification
Behavior typeStringThe type of user behavior towards the product, including browsing, favoriting, adding to cart, purchasing
TimestampIntTime of behavior