graph based
- How to build a recommendation system in a graph database using a latent factor model
(link)
- Graph Learning based Recommender Systems: A Review
(link)
- Recommendation System using Graph database
(link)
- Predict customer behavior and make accurate product recommendations
(link)
- Movie recommendations from MovieLens
(link)
other
- Multi-objective Ranking in Large-Scale E-commerce Recommender Systems
(link)
- MLOps for recommenders - Deploying Recommender System in Production
(link)
- Video Recommendations at Joyn
(link)
- Building a Recommender System Using Embeddings
(link)
- eXtreme Deep Factorization Machine(xDeepFM)
(link)
- Deep Learning based Recommender Systems
(link)
- Real World Recommendation System
(link)
- Factorization Machines for Item Recommendation with Implicit Feedback Data
(link)
- Collaborative Filtering Using
(link)
(link)
- Recommendation system using fastai
(link)
- Winning Solution of RecSys2020 Challenge
(link)
- Papers git
(link)
- Building and Testing Recommender Systems With Surprise, Step-By-Step
(link)
- Prototyping a Recommender System Step by Step Part 1: KNN Item-Based Collaborative Filtering
(link)
- Product Recommendation: An Analytical Approach
(link)
- Build Your Own Movie Recommender System Using BERT4Rec
(link)
- Wayfair Recommendation System for furniture buyers
(link)
- Building a Visual Similarity-based Recommendation System Using Python
(link)
- Using Customer and Product features in Recommender Systems
(link)
- Deep Learning Based Recommender Systems
(link)
- Flexible, Scalable, Differentiable Simulation of Recommender Systems with RecSim NG
(link)
- Introduction to recommender systems
(link)
- Modern Recommender Systems - deep learning
(link)
- The Remarkable world of Recommender Systems
(link)
- Recommenders - Microsoft - git repo
(link)
- Recommender Systems: Exploring the Unknown Using Uncertainty
(link)
- A Friendly Introduction to Recommender Systems
(link)
- Two Decades of Recommender Systems at Amazon
(link)