Learning to Rank for Product Recommendations

This article will go through how to use the popular XGBoost library for Learning-to-rank(LTR) problems

The most common use cases of LTR are Search Engines and Recommender Systems. The ultimate goal of ranking is to order items in a meaningful order.
This article will use the popular XGBoost library for movie recommendations.

When starting working on LTR, my first question was, what is the difference between traditional machine learning and ranking problems? So this is …

data science hands-on-tutorials learning product python recommendations recommendation-system