Thorsten Joachims

Thorsten Joachims's AcademicInfluence.com Rankings

Thorsten Joachims

Computer Science

#2457

World Rank

#2567

Historical Rank

Database

#298

World Rank

#312

Historical Rank

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Computer Science

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Thorsten Joachims's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Text Categorization with Support Vector Machines: Learning with Many Relevant Features (1998) (8961)
Making large scale SVM learning practical (1998) (5579)
Optimizing search engines using clickthrough data (2002) (4442)
Transductive Inference for Text Classification using Support Vector Machines (1999) (3189)
Large Margin Methods for Structured and Interdependent Output Variables (2005) (2299)
Training linear SVMs in linear time (2006) (2177)
Making large-scale support vector machine learning practical (1999) (1884)
Learning to classify text using support vector machines - methods, theory and algorithms (2002) (1689)
A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization (1997) (1596)
Support vector machine learning for interdependent and structured output spaces (2004) (1478)
Accurately interpreting clickthrough data as implicit feedback (2005) (1186)
Cutting-plane training of structural SVMs (2009) (1107)
A support vector method for multivariate performance measures (2005) (872)
Transductive Learning via Spectral Graph Partitioning (2003) (759)
Eye-tracking analysis of user behavior in WWW search (2004) (758)
Learning structural SVMs with latent variables (2009) (735)
A support vector method for optimizing average precision (2007) (732)
Learning a Distance Metric from Relative Comparisons (2003) (699)
WebWatcher : A Learning Apprentice for the World Wide Web (1995) (671)
Web Watcher: A Tour Guide for the World Wide Web (1997) (666)
Text categorization with support vector machines (1999) (658)
In Google We Trust: Users' Decisions on Rank, Position, and Relevance (2007) (626)
Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search (2007) (608)
WebWatcher : A Tour Guide for the World Wide Web (1997) (603)
Query chains: learning to rank from implicit feedback (2005) (570)
Evaluation methods for unsupervised word embeddings (2015) (520)
Learning diverse rankings with multi-armed bandits (2008) (518)
Detecting Concept Drift with Support Vector Machines (2000) (498)
Estimating the Generalization Performance of an SVM Efficiently (2000) (438)
Recommendations as Treatments: Debiasing Learning and Evaluation (2016) (426)
Combining Statistical Learning with a Knowledge-Based Approach - A Case Study in Intensive Care Monitoring (1999) (424)
Semantic Labeling of 3D Point Clouds for Indoor Scenes (2011) (420)
Fairness of Exposure in Rankings (2018) (403)
Unbiased Learning-to-Rank with Biased Feedback (2016) (398)
Accurately Interpreting Clickthrough Data as Implicit Feedback (2017) (383)
How does clickthrough data reflect retrieval quality? (2008) (329)
Interactively optimizing information retrieval systems as a dueling bandits problem (2009) (319)
Training structural SVMs when exact inference is intractable (2008) (308)
MOReL : Model-Based Offline Reinforcement Learning (2020) (298)
Counterfactual Risk Minimization: Learning from Logged Bandit Feedback (2015) (297)
The Self-Normalized Estimator for Counterfactual Learning (2015) (290)
A Statistical Learning Model of Text Classification for Support Vector Machines. (2001) (288)
The K-armed Dueling Bandits Problem (2012) (279)
Batch learning from logged bandit feedback through counterfactual risk minimization (2015) (272)
Evaluating Retrieval Performance Using Clickthrough Data (2003) (260)
Eye tracking and online search: Lessons learned and challenges ahead (2008) (255)
The influence of task and gender on search and evaluation behavior using Google (2006) (254)
Playlist prediction via metric embedding (2012) (245)
Supervised clustering with support vector machines (2005) (245)
A statistical learning learning model of text classification for support vector machines (2001) (232)
Large-scale validation and analysis of interleaved search evaluation (2012) (226)
Search Engines that Learn from Implicit Feedback (2007) (200)
Contextually guided semantic labeling and search for three-dimensional point clouds (2013) (197)
Composite Kernels for Hypertext Categorisation (2001) (191)
Predicting diverse subsets using structural SVMs (2008) (169)
Active exploration for learning rankings from clickthrough data (2007) (168)
Text categorization (2008) (168)
Sparse kernel SVMs via cutting-plane training (2009) (148)
SVM Light: Support Vector Machine (2002) (147)
Policy Learning for Fairness in Ranking (2019) (143)
Text Categorization with Support Vector Machines: Learning with Many Relevant F Eatures Text Categorization with Support Vector Machines: Learning with Many Relevant F Eatures (1997) (133)
Redundancy, diversity and interdependent document relevance (2009) (119)
Controlling Fairness and Bias in Dynamic Learning-to-Rank (2020) (116)
Deep Learning with Logged Bandit Feedback (2018) (114)
Predicting structured objects with support vector machines (2009) (110)
Learning Trajectory Preferences for Manipulators via Iterative Improvement (2013) (109)
Estimating Position Bias without Intrusive Interventions (2018) (108)
Methods for ordinal peer grading (2014) (107)
Beat the Mean Bandit (2011) (102)
Reducing Dueling Bandits to Cardinal Bandits (2014) (99)
A General Framework for Counterfactual Learning-to-Rank (2018) (92)
Learning preferences for manipulation tasks from online coactive feedback (2015) (89)
Minimally Invasive Randomization fro Collecting Unbiased Preferences from Clickthrough Logs (2006) (89)
Knowledge discovery and knowledge validation in intensive care (2000) (80)
Temporal corpus summarization using submodular word coverage (2012) (75)
Modeling Intransitivity in Matchup and Comparison Data (2016) (74)
Contextually Guided Semantic Labeling and Search for 3D Point Clouds (2011) (73)
Online learning to diversify from implicit feedback (2012) (69)
Support Vector Machines (2002) (69)
Large-Margin Learning of Submodular Summarization Models (2012) (65)
The Maximum-Margin Approach to Learning Text Classifiers (2001) (64)
Online Structured Prediction via Coactive Learning (2012) (63)
SIGIR 2003 workshop report: implicit measures of user interests and preferences (2003) (60)
Transductive Support Vector Machines (2006) (59)
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2015) (58)
Support Vector Training of Protein Alignment Models (2007) (56)
Learning to rank for information retrieval (LR4IR 2007) (2007) (56)
Predicting Matchups and Preferences in Context (2016) (56)
Coactive Learning (2015) (56)
KDD-Cup 2004: results and analysis (2004) (55)
Effective Evaluation Using Logged Bandit Feedback from Multiple Loggers (2017) (55)
Learning to Embed Songs and Tags for Playlist Prediction (2012) (55)
Counterfactual Evaluation and Learning for Search, Recommendation and Ad Placement (2016) (55)
The enigmatics of affect (2002) (54)
Taste Over Time: The Temporal Dynamics of User Preferences (2013) (53)
Identifying Temporal Patterns and Key Players in Document Collections (1995) (52)
Intervention Harvesting for Context-Dependent Examination-Bias Estimation (2018) (51)
CAB: Continuous Adaptive Blending for Policy Evaluation and Learning (2019) (51)
Learning to Align Sequences: A Maximum-Margin Approach (2006) (51)
Dynamic ranked retrieval (2011) (49)
Multi-armed Bandit Problems with History (2012) (48)
Information genealogy: uncovering the flow of ideas in non-hyperlinked document databases (2007) (44)
Counterfactual Risk Minimization (2015) (44)
Unbounded Human Learning: Optimal Scheduling for Spaced Repetition (2016) (43)
Large-scale Validation of Counterfactual Learning Methods: A Test-Bed (2016) (43)
Off-policy Bandits with Deficient Support (2020) (42)
Training structural svms with kernels using sampled cuts (2008) (40)
Recommending related papers based on digital library access records (2007) (39)
Learning more powerful test statistics for click-based retrieval evaluation (2010) (37)
Using Shortlists to Support Decision Making and Improve Recommender System Performance (2015) (37)
Supervised k-Means Clustering (2008) (35)
Was this review helpful to you?: it depends! context and voting patterns in online content (2014) (35)
A Tour Guide for the World Wide Web (1997) (34)
Short-Term Satisfaction and Long-Term Coverage: Understanding How Users Tolerate Algorithmic Exploration (2018) (34)
WebWatcher: Machine Learning and Hypertext (1995) (33)
Efficient and non-parametric reasoning over user preferences (2007) (33)
Bayesian Ordinal Peer Grading (2015) (33)
Error bounds for correlation clustering (2005) (32)
Unbiased Comparative Evaluation of Ranking Functions (2016) (32)
Fair Learning-to-Rank from Implicit Feedback (2019) (32)
Evaluating the Robustness of Learning from Implicit Feedback (2006) (30)
Multi-space probabilistic sequence modeling (2013) (29)
Unbiased Evaluation of Retrieval Quality using Clickthrough Data (2002) (28)
User Fairness, Item Fairness, and Diversity for Rankings in Two-Sided Markets (2020) (27)
Generating comparative summaries from reviews (2013) (26)
Guest Editors' Introduction to the Special Issue on Automated Text Categorization (2002) (26)
Policy-Gradient Training of Fair and Unbiased Ranking Functions (2019) (25)
Structured Learning of Sum-of-Submodular Higher Order Energy Functions (2013) (25)
Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes (2010) (25)
Extreme Classification (Dagstuhl Seminar 18291) (2018) (25)
Fairness of Exposure in Stochastic Bandits (2021) (24)
Structured learning of two-level dynamic rankings (2011) (24)
Identifying the original contribution of a document via language modeling (2009) (23)
Behavior Informatics: A New Perspective (2014) (23)
Fairness in Ranking under Uncertainty (2021) (22)
Stable Coactive Learning via Perturbation (2013) (22)
Comparison between various regression depth methods and the support vector machine to approximate the minimum number of missclassifications (2002) (19)
Citation Classification And Its Applications (2005) (19)
Unstructuring User Preferences: Efficient Non-Parametric Utility Revelation (2005) (19)
Mapping subsets of scholarly information (2003) (18)
Online Learning with Preference Feedback (2011) (17)
Learning Socially Optimal Information Systems from Egoistic Users (2013) (17)
Counterfactual Learning and Evaluation for Recommender Systems: Foundations, Implementations, and Recent Advances (2021) (17)
Learning Student and Content Embeddings for Personalized Lesson Sequence Recommendation (2016) (17)
1 Making Large-scale Svm Learning Practical (1999) (16)
Using personalized radio to enhance local music discovery (2014) (16)
Latent Skill Embedding for Personalized Lesson Sequence Recommendation (2016) (16)
Introduction to special issue on learning to rank for information retrieval (2010) (15)
Comparison between the regression depth method and the support vector machine to approximate the minimum number of misclassifications (2000) (15)
Expected Error Analysis for Model Selection (1999) (15)
Taste Space Versus the World: an Embedding Analysis of Listening Habits and Geography (2014) (15)
Improving Recommender Systems Beyond the Algorithm (2018) (15)
Counterfactual Learning-to-Rank for Additive Metrics and Deep Models (2018) (14)
Beyond binary relevance: preferences, diversity, and set-level judgments (2008) (13)
Optimizing Rankings for Recommendation in Matching Markets (2021) (13)
Labeling 3D scenes for Personal Assistant Robots (2011) (12)
Mapping preferences into Euclidean space (2015) (12)
Proceedings of the 27th International Conference on Machine Learning (ICML-10), June 21-24, 2010, Haifa, Israel (2010) (12)
Off-Policy Evaluation for Large Action Spaces via Embeddings (2022) (12)
Shaping Feedback Data in Recommender Systems with Interventions Based on Information Foraging Theory (2019) (11)
Erratum to "Knowledge discovery and knowledge validation in intensive care" (2000) (11)
Beyond myopic inference in big data pipelines (2013) (11)
Equality of Opportunity in Rankings (2017) (11)
Parameter Learning for Loopy Markov Random Fields with Structural Support Vector Machines (2007) (11)
Recommendations as Treatments (2021) (9)
A Statistical Learning Model of Text Classification for SVMs (2002) (9)
Structured Output Prediction with Support Vector Machines (2006) (9)
Fairness and Diversity for Rankings in Two-Sided Markets (2020) (9)
Learning to Diversify from Implicit Feedback (2012) (8)
Evaluating Search Engines using Clickthrough Data (2002) (8)
Evaluating Search Engine Relevance with Click-Based Metrics (2010) (8)
Consistent Position Bias Estimation without Online Interventions for Learning-to-Rank (2018) (8)
Bayesian Ordinal Aggregation of Peer Assessments: A Case Study on KDD 2015 (2016) (7)
The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation (2020) (7)
Batch Learning from Bandit Feedback through Bias Corrected Reward Imputation (2019) (7)
Estimating the Expected Error of Empirical Minimizers for Model Selection (1998) (6)
CAB: Continuous Adaptive Blending Estimator for Policy Evaluation and Learning (2018) (6)
Improving Screening Processes via Calibrated Subset Selection (2022) (6)
REVEAL 2018: offline evaluation for recommender systems (2018) (5)
Large-Margin Learning of Submodular Summarization Methods (2011) (5)
Enriching information retrieval (2012) (5)
Learning Representations of Student Knowledge and Educational Content (2015) (4)
Integrating Kernel Methods into a Knowledge-Based Approach to Evidence-Based Medicine (2002) (4)
Fairness in the First Stage of Two-Stage Recommender Systems (2022) (4)
New Learning Frameworks for Information Retrieval (2011) (4)
Do the right thing ” : machine learning and causal inference for improved decision making (4)
Unbiased Ranking Evaluation on a Budget (2015) (4)
Ranking with Social Cues: Integrating Online Review Scores and Popularity Information (2017) (4)
Exploring Acoustic Similarity for Novel Music Recommendation (2020) (4)
Proceedings, Twenty-Seventh International Conference on Machine Learning (2010) (3)
Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances (2022) (3)
REVEAL 2020: Bandit and Reinforcement Learning from User Interactions (2020) (3)
Variance-Optimal Augmentation Logging for Counterfactual Evaluation in Contextual Bandits (2022) (3)
Classification Based on the Support Vector Machine, Regression Depth, and Discriminant Analysis (2002) (2)
Content-based Music Similarity with Triplet Networks (2020) (2)
Training Transductive Support Vector Machines (2002) (2)
Ofﬂine Policy Evaluation with New Arms (2020) (2)
Transductive Text Classification (2002) (2)
Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking (2022) (2)
A preference elicitation interface for collecting dense recommender datasets with rich user information (2017) (2)
Fairness and Control of Exposure in Two-sided Markets (2021) (2)
Training Protein Threading Models using Structural SVMs (2006) (1)
REVEAL 2019: closing the loop with the real world: reinforcement and robust estimators for recommendation (2019) (1)
WebWatcher: Knowledge Navigation in the World Wide Web (1995) (1)
The Value of User Feedback (2011) (1)
Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion (2022) (1)
Boosted Off-Policy Learning (2022) (1)
Cost-Sensitive Learning via Deep Policy ERM (2018) (1)
Inductive Text Classification (2002) (1)
CONSEQUENCES — Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems (2022) (1)
KDD'15: Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2015) (1)
Deep Learning from Logged Interventions (2018) (1)
Learning from User Interactions (2015) (0)
Evaluating a Learned Admission-Prediction Model as a Replacement for Standardized Tests in College Admissions (2023) (0)
Ranking with social cues: Integrating average review scores with popularity information (2017) (0)
The logistic re-? ! ? ! ? ! ? ! review ! (2018) (0)
Training Inductive Support Vector Machines (2002) (0)
Error Bounds for Correlation Clustering (DRAFT) (2005) (0)
Proceedings of the {ICML} Workshop on Learning in Structured Output Spaces (2006) (0)
An Interview with Dr. Thorsten Joachims, Winner of ACM SIGKDD 2020 Innovation Award (2021) (0)
Book Reviews Learning to Classify Text Using Support Vector Machines: Methods, Theory, and Algorithms (2005) (0)
Publications received (1993) (0)
Identifying Structural Mapping between XML Fragments (2003) (0)
Efficient Performance Estimators for SVMs (2002) (0)
Invited Talk: Learning from Rational Behavior (2014) (0)
C OSTS ENSITIVE L EARNING VIA D EEP P OLICY ERM (2018) (0)
Analysis of nutrition data by means of a matrix factorization method (2015) (0)
Variance-Minimizing Augmentation Logging for Counterfactual Evaluation in Contextual Bandits (2023) (0)
MINING OF USER-GENERATED PLAYLISTS 3 . 38 A 3 (2017) (0)
Uncertainty Quantification for Fairness in Two-Stage Recommender Systems (2022) (0)
How to Explain and Justify Almost Any Decision: Potential Pitfalls for Accountability in AI Decision-Making (2022) (0)
A preference elicitation interface for collecting rich recommender datasets (2017) (0)
MEGSRADIO . FM : LOCALLY-FOCUSED PERSONALIZED INTERNET RADIO (2016) (0)
A Queueing-Theoretic Foundation for Optimal Spaced Repetition (2016) (0)
Off-policy evaluation for learning-to-rank via interpolating the item-position model and the position-based model (2022) (0)
EEP L EARNING WITH L OGGED B ANDIT F EEDBACK (2018) (0)

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Other Resources About Thorsten Joachims

www.cs.cornell.edu

What Schools Are Affiliated With Thorsten Joachims?

Thorsten Joachims is affiliated with the following schools: