A Mixed-Methods Approach to Offline Evaluation of News Recommender Systems

P-Companion: Amazon’s Principled Framework for Diversified Complementary Product Recommendation

A Real World, Novel Approach to Enhance Diversity in Recommender Systems

Building a Comprehensive Movie Recommendation Application

Reinforcement Learning based Personalization of LLMs

What Next? Exploring Graph Neural Network Recommendation Engines

Memory-Efficient Embeddings

The Principled Approach to Early Ranking Stages

Two-Tower Networks and Negative Sampling in Recommender Systems

The Guide to Recommender Metrics