Everything about Collaborative filtering

🧭 Start here: a 6-step reading path

1. Read the overview: Collaborative filteringA 5-minute orientation
2. Skim a recent paper: A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich RecommendationInfluential work since 2022
3. Pick up a classic book: Recommendation EnginesThe most-reprinted book on the subject
4. Read the landmark paper: Image Denoising by Sparse 3-D Transform-Domain Collaborative FilteringCited 8,180 times
5. Go sideways: Matrix factorization (recommender systems)A closely related topic
6. Go sideways: Recommender systemA closely related topic

🏆 Landmark papers (most cited)

• Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering

  Kostadin Dabov, Alessandro Foi, Vladimir Katkovnik · 2007 · IEEE Transactions on Image Processing · 8,180 citations

• Evaluating collaborative filtering recommender systems

  Jonathan L. Herlocker, Joseph A. Konstan, Loren G. Terveen · 2004 · ACM Transactions on Information Systems · 4,305 citations

• Amazon.com recommendations: item-to-item collaborative filtering

  G. Linden, B. Smith, J. York · 2003 · IEEE Internet Computing · 4,207 citations

• Using collaborative filtering to weave an information tapestry

  David Goldberg, David Nichols, Brian M. Oki · 1992 · Communications of the ACM · 2,768 citations

• A Survey of Collaborative Filtering Techniques

  Xiaoyuan Su, Taghi M. Khoshgoftaar · 2009 · Advances in Artificial Intelligence · 2,431 citations

🆕 Influential since 2022

• A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation

  Le Wu, Xiangnan He, Xiang Wang · 2022 · IEEE Transactions on Knowledge and Data Engineering · 258 citations

• Federated Neural Collaborative Filtering

  Vasileios Perifanis, Pavlos S. Efraimidis · 2022 · Knowledge-Based Systems · 201 citations

• A weighted bilinear neural collaborative filtering approach for drug repositioning

  Yajie Meng, Changcheng Lu, Min Jin · 2022 · Briefings in Bioinformatics · 190 citations

• Collaborative filtering recommender systems taxonomy

  Harris Papadakis, Antonis Papagrigoriou, Costas Panagiotakis · 2022 · Knowledge and Information Systems · 141 citations

• A collaborative filtering recommender systems: Survey

  Mohammed Fadhel Aljunid, Manjaiah D.H., Mohammad Kazim Hooshmand · 2025 · Neurocomputing · 71 citations

📚 Books worth reading

• Recommendation EnginesMichael Schrage · 2020

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics

• Matrix factorization (recommender systems) Matrix factorization is a class of collaborative filtering algorithms used in recommender systems. Matrix factorization algorithms work by decomposing…
• Recommender system A recommender system, also called a recommendation engine or content discovery platform is a type of information filtering system that aims to suggest…
• Cold start (recommender systems) Cold start is a potential problem in computer-based information systems which involves a degree of automated data modelling. Specifically, it concerns…
• Item-item collaborative filtering Item-item collaborative filtering, or item-based, or item-to-item, is a form of collaborative filtering for recommender systems based on the similarity…
• Algorithmic curation Algorithm curation is the selection of online media by technologies such as recommender systems and personalized search. Curation entails the selective…
• Robust collaborative filtering Robust collaborative filtering, or attack-resistant collaborative filtering, refers to algorithms or techniques that aim to make collaborative filtering…
• GroupLens Research 44°58′27″N 93°13′57″W / 44.974280°N 93.232502°W / 44.974280; -93.232502 GroupLens Research is a human–computer interaction research lab in the Department…
• Location-based recommendation Location-based recommendation is a recommender system that incorporates location information, such as that from a mobile device, into algorithms to attempt…