awesome-recsys
github.com/jihoo-kim/awesome-recsys ↗A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)
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Table of Contents1. Books2. Conferences3. Researchers4. Papers5. GitHub Repositories6. Useful Sites7. Youtube Videos8. SlideShare PPT
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4. Papers
- Amazon.com Recommendations: Item-to-Item Collaborative Filtering
- An algorithmic framework for performing collaborative filtering
- A Survey of Collaborative Filtering Techniques
- AutoRec: Autoencoders Meet Collaborative Filtering
- Collaborative Deep Learning for Recommender Systems
- Collaborative Denoising Auto-Encoders for Top-N Recommender Systems
8. SlideShare PPT
5. GitHub Repositories
Table of Contents
7. Youtube Videos
- Building Recommender System with Machine Learning and AI
- How does Netflix recommend movies? Matrix Factorization
- Machine Learning for Recommender Systems
- Machine Learning - FULL COURSE | Andrew Ng | Stanford University
Andrew Ng | Stanford University (Lecture 16.1 ~ Lecture 16.6)
- Mining Massive Datasets - FULL COURSE | Stanford University
Stanford University (Lecture 41 ~ Lecture 45)
- Recommendation Systems - Learn Python for Data Science #3
Learn Python for Data Science #3
6. Useful Sites
- Coursera - Recommender System
Joseph A. Konstan)
- Guide2Research - Top CS Conference
Top CS Conference
- PapersWithCode - Recommender System
Recommender System)
- WikiCFP - Recommender System
Recommender System)
Showing a sample of 119 resources. View the full list on GitHub →