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

Recommender Systems From Implicit Feedback Using TensorFlow Recommenders

What to Bring? — Item Suggestions with Collaborative Filtering