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Everything about Collaborative filtering
Algorithm used by recommender systems
Collaborative filtering (CF) is, besides content-based filtering, one of two major techniques used by recommender systems. Collaborative filtering has two senses, a narrow one and a more general one. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Collaborative filteringA 5-minute orientation
- Skim a recent paper: T&TRS: robust collaborative filtering recommender systems against attacksInfluential work since 2022
- Pick up a classic book: The Conspirators HierarchyThe most-reprinted book on the subject
- Read the landmark paper: Robust Collaborative Filtering Recommendation With User-Item-Trust RecordsCited 175 times
- Go sideways: Matrix factorization (recommender systems)A closely related topic
- Go sideways: Recommender systemA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
Robust Collaborative Filtering Recommendation With User-Item-Trust Records
Unsupervised strategies for shilling detection and robust collaborative filtering
Towards Robust Neural Graph Collaborative Filtering via Structure Denoising and Embedding Perturbation
Robust collaborative filtering based on non-negative matrix factorization and R 1 -norm
Component-wise robust linear fuzzy clustering for collaborative filtering
Robust Model-Based Reliability Approach to Tackle Shilling Attacks in Collaborative Filtering Recommender Systems
Robust Collaborative Filtering to Popularity Distribution Shift
A Robust Collaborative Filtering Recommendation Algorithm Based on Multidimensional Trust Model
🆕 Influential since 2022
T&TRS: robust collaborative filtering recommender systems against attacks
Training Robust Deep Collaborative Filtering Models via Adversarial Noise Propagation
Partially Observed Visual IoT Data Reconstruction Based on Robust Half-Quadratic Collaborative Filtering
Robust multimedia recommender system based on dynamic collaborative filtering and directed adversarial learning
DAPEW: Towards robust collaborative filtering with graph contrastive learning
📚 Books worth reading
The Conspirators HierarchyJohn Coleman · 1992
Trust-based Collective View PredictionTiejian Luo · 2013
Advances in Knowledge Discovery and Data MiningJian Pei · 2013
Advances in Computing, Communication, and ControlSrija Unnikrishnan · 2013- 📕Fuzzy systems and data mining IIITaiwan) FSDM (Conference) (2017 Hualien · 2017
The Semantic Web – ISWC 2012Philippe Cudré-Mauroux · 2012
Intelligent decision making systemsInternational Conference on Intelligent Systems and Knowledge Engineering (4th 2009 Hasselt, Belgium) · 2010- 📕ISMIR 2006International Conference on Music Information Retrieval (7th 2006 Victoria, British Columbia, Canada) · 2006
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
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