awesome-RecSys
A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)
https://github.com/jihoo-kim/awesome-RecSys
Last synced: 4 days ago
JSON representation
-
2. Conferences
-
6. Useful Sites
- Coursera - Recommender System - Joseph A. Konstan)
- WikiCFP - Recommender System - Recommender System)
- Guide2Research - Top CS Conference
- WikiCFP - Recommender System - Recommender System)
-
1. Books
- Recommender Systems: The Textbook
- Recommender Systems Handbook 2nd Edition
- Recommender Systems Handbook 1st Edition
- Recommender Systems An Introduction - material/slides)
- Recommender Systems: The Textbook
- Recommender Systems Handbook 2nd Edition
- Recommender Systems An Introduction - material/slides)
-
3. Researchers
- Joseph A. Konstan
- Philip S. Yu
- Charu Aggarwal
- Martin Ester
- Paul Resnick
- Peter Brusilovsky
- Bamshad Mobasher
- Alexander Tuzhilin
- Yehuda Koren
- Barry Smyth
- Lior Rokach - Gurion University of the Negev)
- Loren Terveen
- Chris Volinsky
- Ed H. Chi
- Laks V.S. Lakshmanan
- Badrul Sarwar
- Robin Burke
- Brent Smith
- Greg Linden
- Hao Ma
- Giovanni Semeraro
- Dietmar Jannach
- Charu Aggarwal
- Martin Ester
- Paul Resnick
- Bamshad Mobasher
- Francesco Ricci - Bolzano)
- Greg Linden
- Giovanni Semeraro
- Giovanni Semeraro
- Loren Terveen
- Brent Smith
- George Karypis
- Joseph A. Konstan
- Martin Ester
- Yehuda Koren
- Lior Rokach - Gurion University of the Negev)
- Ed H. Chi
- Badrul Sarwar
- Robin Burke
- Dietmar Jannach
-
4. Papers
- Deep Learning based Recommender System: A Survey and New Perspectives
- Deep Neural Networks for YouTube Recommendations
- AutoRec: Autoencoders Meet Collaborative Filtering
- Collaborative Deep Learning for Recommender Systems
- Collaborative Filtering beyond the User-Item Matrix A Survey of the State of the Art and Future Challenges
- Location-based and Preference-Aware Recommendation Using Sparse Geo-Social Networking Data
- Context-Aware Recommender Systems for Learning: A Survey and Future Challenges
- Exploiting Geographical Influence for Collaborative Point-of-Interest Recommendation
- Recommender Systems with Social Regularization
- Matrix Factorization Techniques for Recommender Systems
- A Survey of Collaborative Filtering Techniques
- Collaborative Filtering with Temporal Dynamics
- Factorization Meets the Neighborhood: a Multifaceted Collaborative Filtering Model
- Collaborative Filtering for Implicit Feedback Datasets
- SoRec: social recommendation using probabilistic matrix factorization
- Flickr tag recommendation based on collective knowledge
- Restricted Boltzmann machines for collaborative filtering
- Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions
- Evaluating collaborative filtering recommender systems
- Amazon.com Recommendations: Item-to-Item Collaborative Filtering
- Content-boosted collaborative filtering for improved recommendations
- Item-based collaborative filtering recommendation algorithms
- Explaining collaborative filtering recommendations
- An algorithmic framework for performing collaborative filtering
- Empirical analysis of predictive algorithms for collaborative filtering
- Social information filtering: Algorithms for automating "word of mouth"
- GroupLens: an open architecture for collaborative filtering of netnews
- Using collaborative filtering to weave an information tapestry
- Explainable Recommendation: A Survey and New Perspectives
- Context-Aware Recommender Systems for Learning: A Survey and Future Challenges
- A Survey of Collaborative Filtering Techniques
- Deep Learning based Recommender System: A Survey and New Perspectives
- Collaborative Deep Learning for Recommender Systems
- The YouTube Video Recommendation System
- Flickr tag recommendation based on collective knowledge
- Using collaborative filtering to weave an information tapestry
- Wide & Deep Learning for Recommender Systems - Tze Cheng)
- AutoRec: Autoencoders Meet Collaborative Filtering
- Deep content-based music recommendation
- Collaborative Variational Autoencoder for Recommender Systems
- Neural Collaborative Filtering
- Collaborative Denoising Auto-Encoders for Top-N Recommender Systems
- Collaborative Filtering beyond the User-Item Matrix A Survey of the State of the Art and Future Challenges
- Time-aware Point-of-interest Recommendation
- Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions
- Item-based collaborative filtering recommendation algorithms
- An algorithmic framework for performing collaborative filtering
-
7. Youtube Videos
- RecSys Paper Presentation Videos
- Building Recommender System with Machine Learning and AI
- Machine Learning - FULL COURSE | Andrew Ng | Stanford University
- Mining Massive Datasets - FULL COURSE | Stanford University
- Recommendation Systems - Learn Python for Data Science #3
- How does Netflix recommend movies? Matrix Factorization
- Machine Learning for Recommender Systems
- Mining Massive Datasets - FULL COURSE | Stanford University
- Text Retrieval and Search Engines - FULL COURSE | UIUC
- Building Recommender System with Machine Learning and AI
- Machine Learning - FULL COURSE | Andrew Ng | Stanford University
- RecSys Paper Presentation Videos
- Building Recommender System with Machine Learning and AI
- Machine Learning - FULL COURSE | Andrew Ng | Stanford University
- Machine Learning for Recommender Systems
-
8. SlideShare PPT
-
5. GitHub Repositories
- LightFM
- RSPapers
- Surprise
- Deep-Learning-for-Recommendation-Systems - Learning-for-Recommendation-Systems.svg?style=social) (Papers, Blogs, Worshops, Tutorials, Software)
- List_of_Recommender_Systems
- Spotlight
- DeepRec
- TensorRec
- RecommenderSystem-Paper - Paper.svg?style=social) (Papers, Tools, Frameworks)
- CaseRecommender
- python-recsys - recsys.svg?style=social) (Python Library)
- awesome-RecSys-papers - RecSys-papers.svg?style=social) (Papers)
- NeuRec
- RecNN
- RecQ - Yu/RecQ.svg?style=social) (TensorFlow Codes)
Programming Languages
Categories
Sub Categories
Keywords
recommender-system
7
python
6
machine-learning
5
deep-learning
5
collaborative-filtering
4
tensorflow
4
recommendation-system
4
matrix-factorization
3
recommendation
3
recommender-systems
3
learning-to-rank
2
recommender
2
neural-network
2
pytorch
2
rating-prediction
2
systems
1
svd
1
neural-networks
1
matrix
1
factorization
1
survey
1
social-recommender
1
social-recommendation
1
read-papers
1
deep-learning-based-rs
1
sequential
1
social-network
1
variational-autoencoder
1
library
1
news-recommendation
1
pytorch-rl
1
reinforcement-learning
1
toolkit
1
top-k
1
ranking
1
evaluation
1
paper
1
deeplearning
1
cold-start
1
recommendation-algorithm
1
framework
1
top-n-recommendations
1
awesome
1
papers
1
adversarial-learning
1
factorization-machine
1
autoencoder
1
convolutional-neural-networks
1
gcn
1
music-recommendation
1