User Action Sequence Modeling: From Attention to Transformers and Beyond

Large Language Models and Vector Databases for News Recommendations

The Principled Approach to Early Ranking Stages

The Guide to Recommender Metrics

Recommender Systems From Implicit Feedback Using TensorFlow Recommenders

The Future of Music Discovery: Search vs. Generation

Balancing Act: Addressing Popularity Bias in Recommendation Systems

Evaluation Metrics for Recommendation Systems — An Overview

RecList 2.0: Open-Source Systematic Testing of ML Models

Building Powerful Recommender Systems with Deep Learning