Feature Engineering Techniques for Long-Tail Categorical Variables in Retail Datasets
Retail datasets present a uniquely challenging characteristic: long-tail categorical variables where a few categories dominate the frequency distribution while hundreds or thousands of rare categories appear only sporadically. Product IDs, brand names, customer segments, store locations, and SKU attributes all exhibit this pattern. A typical e-commerce platform might have 10 products that generate 30% of … Read more