Recommender Systems

This section focuses on personalized ranking models, collaborative filtering, candidate generation, and industrial-scale recommendation pipelines.

Key Focus Areas

• Collaborative & Content-Based Filtering: Matrix factorization, SVD, implicit feedback models.
• Deep Learning for RecSys: Two-tower models, sequential recommendation, graph neural networks for recommendations.
• Serving & Evaluation: Retrieval vs. ranking stages, offline metrics (NDCG, MAP), online AB testing metrics.

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Table of contents

• Overview of RecSys
• Recommender Systems: High-Level Guide