- Introduction to recommender systems: Basics and classic techniques
- Beyond the basics
- Deep Learning for recommendations
- The “systems part” of recommender systems
- Evaluation and UX
- End-to-end examples of real-world industrial recommender systems
1. Introduction to recommender systems: Basics and classic techniques
Introduction to Recommender Systems: A 4-hour lecture [VIDEO]
Data Mining Methods for Recommender Systems
On the “Usefulness” of the Netflix Prize
Kdd 2014 Tutorial - the recommender problem revisited
Feature Engineering for Recommendation Systems – Part 1
2. Beyond the basics
2.1 Ranking
Personalized ‘Complete the Look’ model by Walmart
2.2 Factorization machines
Factorization Machines for Item Recommendation with Implicit Feedback Data
2.3 Explore/exploit
Bandits for Recommender Systems
Explore/Exploit Schemes for Web Content Optimization
Explore/Exploit for Personalized Recommendation [VIDEO]
Artwork Personalization at Netflix by Netflix
A Contextual-Bandit Approach to Personalized News Article Recommendation
Recommending Items to Users: An Explore Exploit Perspective
2.4 Full page optimization
Learning a Personalized Homepage by Netflix
Beyond Ranking: Optimizing Whole-Page Presentation [VIDEO]
Fair and Balanced: Learning to Present News Stories
2.5 Context-aware recommendations and other approaches
The Wisdom of the Few: A Collaborative Filtering Approach Based on Expert Opinions from the Web
Temporal Diversity in Recommender Systems
Towards Time-Dependant Recommendation based on Implicit Feedback
2.6 Reinforcement learning
Reinforcement Learning for Recommendations and Search
Deep Reinforcement Learning for Page-wise Recommendations
3. Deep Learning for recommendations
3.1 The Deep Basics
Neural Collaborative Filtering
Wide & Deep Learning for Recommender Systems by Google
Deep Learning Recommendation Model for Personalization and Recommendation Systems by Facebook
3.2 Embeddings
Embedding-based Retrieval in Facebook Search by Facebook
Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba by Alibaba
3.3 Graph Neural Networks
ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation
Using graph neural networks to recommend related products by Amazon
Modern Recommendation Systems with Neural Networks
Graph Neural Networks in Recommender Systems: A Survey
3.4 Recommending Sequences
Behavior Sequence Transformer for E-commerce Recommendation in Alibaba by Alibaba
Sequential Recommender Systems: Challenges, Progress and Prospects
Recommending movies: retrieval using a sequential model a Tensorflow example
3.5 LLMs for recommendations
Zero and Few Shot Recommender Systems based on Large Language Models
4. The “systems part” of recommender systems
Recommender Systems, Not Just Recommender Models
Real World Recommendation System - Part 1 by Fennel.ai
Blueprints for recommender system architectures: 10th anniversary edition
Pinterest Home Feed Unified Lightweight Scoring: A Two-tower Approach by Pinterest
How NVidia supports Recommender Systems [VIDEO] by NVidia
System Design for Recommendations and Search
Real-time Machine Learning For Recommendations
Near real-time features for near real-time personalization by LinkedIn
Introducing DreamShard: A reinforcement learning approach for embedding table sharding by Facebook
5. Evaluation and UX
The death of the stars: A brief primer on online user ratings
EvalRS: a Rounded Evaluation of Recommender Systems
Beyond NDCG: behavioral testing of recommender systems with RecList
How to Measure and Mitigate Position Bias
Rate it Again: Increasing Recommendation Accuracy by User re-Rating
I like It… I like It Not: Measuring Users Ratings Noise in Recommender Systems
6. End-to-end examples of real-world industrial recommender systems
Lessons Learned from building real life recommender systems
Past, present, and future of recommender systems: An industry perspective [VIDEO]
On YouTube’s recommendation system by Youtube
Deep Neural Networks for YouTube Recommendations by Youtube
How Spotify Uses ML to Create the Future of Personalization by Spotify [VIDEO]
Recommender systems in industry: A Netflix case study by Netflix
Twitter’s recommendation algorithm by Twitter
Evolving the Best Sort for Reddit’s Home Feed by Reddit
Intelligent Customer Preference engine with real-time ML systems by Walmart [VIDEO]
Homepage Recommendation with Exploitation and Exploration by Doordash
Learning to rank restaurants by Swiggy
How we use engagement-based embeddings to improve search and recommendation on Faire by Faire
Deep Recommender Systems at Facebook [VIDEO] by Facebook
Building a heterogeneous social network recommendation system by LinkedIn
A closer look at the AI behind course recommendations on LinkedIn Learning by LinkedIn
Recommending the world’s knowledge. Applications of Recommender Systems at Quora
Monolith: Real Time Recommendation System With Collisionless Embedding Table by Bytedance/Tiktok
