Recommender Systems

A Recommender System is an information filtering system that predicts user preferences and suggests items through analysis of user behavioral data, explicitly stated preferences, or patterns derived from similar users.

23.6K

Publications

1.5M

Citations

46.6K

Authors

5.4K

Institutions

Publications per year

2017–2026

12.5K

Parents

Data Science

Children

Cold-start RecommendationCollaborative FilteringContent-based RecommendationContext-aware RecommendationConversational RecommendationCross-domain RecommendationDiversity In RecommendationEvaluation Of Recommender SystemsExplainable RecommendationFairness In Recommendation

Publications

23.6K

Matrix Factorization Techniques for Recommender Systems

Yehuda Koren, Robert Bell, Chris Volinsky · Computer · 2009 · 11.7K citations

Computing, Computer Science, Information Retrieval +13

Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions

Gediminas Adomavičius, Alexander Tuzhilin · IEEE Transactions on Knowledge and Data Engineering · 2005 · 10.3K citations

Computing, Computer Science, Information Retrieval +14

Item-based collaborative filtering recommendation algorithms

Badrul Sarwar, George Karypis, Joseph A. Konstan et al. · 2001 · 9K citations

Computing, Computer Science, Information Systems +11

Neural Collaborative Filtering

Xiangnan He, Lizi Liao, Hanwang Zhang et al. · 2017 · 6.6K citations · Full text

Computing, Computer Science, Artificial Intelligence +15

Evaluating collaborative filtering recommender systems

Jonathan L. Herlocker, Joseph A. Konstan, Loren Terveen et al. · ACM Transactions on Information Systems · 2004 · 5.8K citations

Computing, Information Systems, Information Retrieval +13

1–5 of 23.6K

Authors

46.6K

XH
Xiangnan He
University of Science and Technology of China, China
155 publications · 33.8K citations
74
h-index
XX
Xing Xie
Microsoft Research Asia (China), China
128 publications · 20.8K citations
64
h-index
HY
Hongzhi Yin
The University of Queensland, Australia
119 publications · 11.9K citations
61
h-index
TC
Tat‐Seng Chua
National University of Singapore, Singapore
96 publications · 22.4K citations
56
h-index
BM
Bamshad Mobasher
DePaul University, United States
90 publications · 9.8K citations
51
h-index

1–5 of 46.6K

Institutions

5.4K

1–8 of 5.4K

Venues

Expert Systems with Applications
568 publications · 34.7K citations
96
h-index
arXiv (Cornell University)
Repository · 731 publications · 40.2K citations
81
h-index
Proceedings of the AAAI Conference on Artificial Intelligence
Conference · 265 publications · 21.1K citations
77
h-index
IEEE Transactions on Knowledge and Data Engineering
TKDE · 323 publications · 37.7K citations
76
h-index
Knowledge-Based Systems
337 publications · 20.9K citations
76
h-index

1–5

See also Recommender Systems
Core Methods	Collaborative Filtering Deep Learning Matrix Factorization Singular Value Decomposition Item-based Collaborative Filtering Hybrid Recommendation User-based Collaborative Filtering Content-based Recommendation
Evaluation	Personalization Diversity Large Language Models Online Evaluation Offline Testing A/b Testing Email Click-through Rates Normalized Discounted Cumulative Gain Coverage Novelty Serendipity Recall Elections Precision Mean Absolute Error Root Mean Squared Error Analysis Mean Average Precision Satisfaction Measurement
Limitations	Cold-start Problem Bias Privacy Data Sparsity Scalability Synonymy Long-tail Recommendation Explainability Contextual Recommendation Accuracy Coverage
Applications	Tourism E-learning Finance E-commerce Systems Hospitality Management Social Media Platforms
Variants	Collaborative Filtering Group Recommendation Hybrid Recommendation Context-aware Recommendation Model-based Collaborative Filtering Content-based Recommendation Knowledge-based Recommendation Demographic Recommendation Memory-based Collaborative Filtering