Recommender Systems
Books, Lecture Notes
- K. Pham: Machine Learning Design Interview (2022)
- Kim Falk: Practical Recommender Systems (2019)
Papers
- M. Naumov et al: Deep Learning Recommendation Model for Personalization and Recommendation Systems (2019), github
Courses
- EdX: UMontreal: Laurent Charlin: Recommender Systems: Behind the Screen
- Google: Recommendation system course
Blog Posts
- B. Rocca: Introduction to recommender systems (2019)
- Facebook Ads ML team: Field guide to ML
Talks/Clips
- YouTube Recommendation System (2020)
- Stanford MLSys Seminar Episode 24: Deep Recommender Systems at Facebook feat. Carole-Jean Wu (2021)
- Stanford MLSys Seminar Episode 27: How NVIDIA Supports Recommender Systems feat. Even Oldridge (2021)
- A. Malevich: Practical Recommendations for Building Recommender Systems with Facebook (2020)