The Guide to Recommender Metrics

Recommender Systems From Implicit Feedback Using TensorFlow Recommenders

What to Bring? — Item Suggestions with Collaborative Filtering

From Hacks to Harmony: Structuring Product Rules in Recommendations

Regression and Bayesian Methods in Modern Preference Elicitation

Introduction to Ranking Algorithms

Comprehensive Guide to Ranking Evaluation Metrics

Building Powerful Recommender Systems with Deep Learning

Unveiling the Precision@N and Recall@N in Recommender System

Beyond Accuracy: Embracing Serendipity and Novelty in Recommendations for Long Term User Retention