Thorsten Joachims
Active 1995–2026
- 237
- Papers
- 56,325
- Citations
- 72
- h-index
- 169
- i10-index
Citations
Citation sources
Countries
Institutions
Fields
- Computer Science76.7%
- Engineering4.1%
- Biochemistry, Genetics and Molecular Biology4%
- Decision Sciences3.7%
- Social Sciences3.2%
- Physics and Astronomy1.4%
- Other6.9%
Topics
- Text and Document Classification Technologies5.9%
- Topic Modeling5.6%
- Natural Language Processing Techniques3.4%
- Web Data Mining and Analysis3.2%
- Advanced Image and Video Retrieval Techniques3%
- Face and Expression Recognition3%
- Other75.9%
Coauthors
- Adith Swaminathan17
- Filip Radlinski14
- Tobias Schnabel13
- Yuta Saito13
- Yisong Yue10
- Joyce Zhou9
- Douglas R. Turnbull8
- Karthik Raman8
- Pannaga Shivaswamy8
- Paul N. Bennett8
- René F. Kizilcec8
- Lequn Wang7
- Ashudeep Singh6
- Ashutosh Saxena6
- Ben London6
- Chun-Nam John Yu6
- Flavian Vasile6
- Geri Gay6
- Jinsook Lee6
- Laura A. Granka6
- Shuo Chen6
- Zhaolin Gao6
- Aman Agarwal5
- Bing Pan5
All papers
- Fairness of Exposure in Rankings
Authors: Ashudeep Singh, Thorsten Joachims - SIGKDD International Conference on Knowledge Discovery & Data Mining 2018 cited by 569
- Text Categorization with Support Vector Machines: Learning with Many Relevant Features
Authors: Thorsten Joachims - Lecture notes in computer science, ECML 1998 cited by 7,997
- Unbiased Learning-to-Rank with Biased Feedback
Authors: Thorsten Joachims, Adith Swaminathan, Tobias Schnabel - Tenth ACM International Conference on Web Search and Data Mining, IJCAI 2017 cited by 514
- Optimizing search engines using clickthrough data
Authors: Thorsten Joachims - eighth ACM SIGKDD international conference on Knowledge discovery and data mining 2002 cited by 3,925
- Controlling Fairness and Bias in Dynamic Learning-to-Rank
Authors: Marco Morik, Ashudeep Singh, Jessica Hong, Thorsten Joachims - SIGIR Conference on Research and Development in Information Retrieval 2020 cited by 201
- Accurately Interpreting Clickthrough Data as Implicit Feedback
Authors: Thorsten Joachims, Laura A. Granka, Bing Pan, Helene Hembrooke, Geri Gay - ACM SIGIR Forum 2005 cited by 1,397
- Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search
Authors: Thorsten Joachims, Laura A. Granka, Bing Pan, Helene Hembrooke, Filip Radlinski, Geri Gay - ACM Transactions on Information Systems, ACM Trans. Inf. Syst. 2007 cited by 677
- Reviewer2: Optimizing Review Generation Through Prompt Generation
Authors: Zhaolin Gao, Kianté Brantley, Thorsten Joachims - arXiv (Cornell University), CoRR 2024 cited by 51
- MOReL : Model-Based Offline Reinforcement Learning
Authors: Rahul Kidambi, Aravind Rajeswaran, Praneeth Netrapalli, Thorsten Joachims - Neural Information Processing Systems, NeurIPS 2020 cited by 834
- Training linear SVMs in linear time
Authors: Thorsten Joachims - SIGKDD international conference on Knowledge discovery and data mining 2006 cited by 1,961
- In Google We Trust: Users' Decisions on Rank, Position, and Relevance
Authors: Bing Pan, Helene Hembrooke, Thorsten Joachims, Lori Lorigo, Geri Gay, Laura A. Granka - Journal of Computer-Mediated Communication, J. Comput. Mediat. Commun. 2007 cited by 712
- Learning diverse rankings with multi-armed bandits
Authors: Filip Radlinski, Robert Kleinberg, Thorsten Joachims - conference on Machine learning - ICML '08 2008 cited by 518
- REBEL: Reinforcement Learning via Regressing Relative Rewards
Authors: Zhaolin Gao, Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Gokul Swamy, Kianté Brantley, Thorsten Joachims, Drew Bagnell, Jason D. Lee, Wen Sun - Advances in Neural Information Processing Systems 37, NeurIPS 2024 cited by 77
- How does clickthrough data reflect retrieval quality?
Authors: Filip Radlinski, Madhu Kurup, Thorsten Joachims - conference on Information and knowledge management, CIKM 2008 cited by 294
- Large-scale validation and analysis of interleaved search evaluation
Authors: Olivier Chapelle, Thorsten Joachims, Filip Radlinski, Yisong Yue - ACM Transactions on Information Systems, ACM Trans. Inf. Syst. 2012 cited by 228
- Interactively optimizing information retrieval systems as a dueling bandits problem
Authors: Yisong Yue, Thorsten Joachims - Conference on Machine Learning, ICML 2009 cited by 281
- The K-armed Dueling Bandits Problem
Authors: Yisong Yue, Josef Broder, Robert Kleinberg, Thorsten Joachims - Journal of Computer and System Sciences, COLT 2009 cited by 199
- Counterfactual Learning and Evaluation for Recommender Systems: Foundations, Implementations, and Recent Advances
Authors: Yuta Saito, Thorsten Joachims - Fifteenth ACM Conference on Recommender Systems, RecSys 2021 cited by 49
- Proceedings of the 18th ACM Conference on Recommender Systems, RecSys 2024, Bari, Italy, October 14-18, 2024
Authors: Tommaso Di Noia, Pasquale Lops, Thorsten Joachims, Katrien Verbert, Pablo Castells, Zhenhua Dong, Ben London - RecSys 2024 cited by 52
- Transductive Inference for Text Classification using Support Vector Machines
Authors: Thorsten Joachims - http://www.cs.wustl.edu/~zy/./paper/joachims99transductive.ps, ICML 1999 cited by 3,265
- A support vector method for optimizing average precision
Authors: Yisong Yue, Thomas Finley, Filip Radlinski, Thorsten Joachims - SIGIR conference on Research and development in information retrieval 2007 cited by 720
- Recommendations as Treatments: Debiasing Learning and Evaluation
Authors: Tobias Schnabel, Adith Swaminathan, Ashudeep Singh, Navin Chandak, Thorsten Joachims - ICML 2016 cited by 838
- Eye-tracking analysis of user behavior in WWW search
Authors: Laura A. Granka, Thorsten Joachims, Geri Gay - SIGIR conference on Research and development in information retrieval 2004 cited by 700
- Prompt Curriculum Learning for Efficient LLM Post-Training
Authors: Zhaolin Gao, Joongwon Kim, Wen Sun, Thorsten Joachims, Sid Wang, Richard Yuanzhe Pang, Liang Tan - ArXiv.org, CoRR 2025 cited by 21
