Recommender Systems

concepts · 7 notes linked

Related: Movielens · Collaborative Filtering · Matrix Factorization · Singular Value Decomposition · Reinforcement Learning · Pinterest · Graph Neural Networks · Graph Embeddings

Notes

• GitHub - eugeneyan/applied-ml — Curated industry ML blog posts and papers from production deployments
• Matrix Factorization (d2l.ai) — Collaborative filtering via low-rank user-item interaction matrix decomposition
• Matrix Factorization for Movie Recommendations in Python — Low-rank SVD matrix factorization for collaborative filtering movie recommendations
• Multi-Armed Bandits in Python: Epsilon Greedy, UCB1, Bayesian UCB, and EXP3 — Four bandit algorithm implementations evaluated on MovieLens recommendation task
• PinSage: A new graph convolutional neural network for web-scale recommender systems — Web-scale random-walk GCN for billion-node Pinterest recommender system
• Scaling Recommender Transformers to a Billion Parameters | Towards Data Science — ARGUS autoregressive recommender transformer scaled to one billion parameters
• Simple Movie Recommender Using SVD — SVD-based movie recommender using cosine similarity on principal components