Thorsten Joachims

According to our database1, Thorsten Joachims authored at least 133 papers between 1997 and 2019.

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Awards

ACM Fellow

ACM Fellow 2014, "For contributions to the theory and practice of machine learning and information retrieval.".

Timeline

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Bibliography

2019
Shaping Feedback Data in Recommender Systems with Interventions Based on Information Foraging Theory.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Estimating Position Bias without Intrusive Interventions.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

2018
Extreme Classification (Dagstuhl Seminar 18291).
Dagstuhl Reports, 2018

Short-Term Satisfaction and Long-Term Coverage: Understanding How Users Tolerate Algorithmic Exploration.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

REVEAL 2018: offline evaluation for recommender systems.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Deep Learning from Logged Interventions.
Proceedings of the 3rd Workshop on Deep Learning for Recommender Systems, 2018

Fairness of Exposure in Rankings.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Unbiased Learning-to-Rank with Biased Feedback.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Deep Learning with Logged Bandit Feedback.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Unbiased Learning-to-Rank with Biased Feedback.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Effective Evaluation Using Logged Bandit Feedback from Multiple Loggers.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Ranking with Social Cues: Integrating Online Review Scores and Popularity Information.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

2016
Using Shortlists to Support Decision Making and Improve Recommender System Performance.
Proceedings of the 25th International Conference on World Wide Web, 2016

Modeling Intransitivity in Matchup and Comparison Data.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Counterfactual Evaluation and Learning for Search, Recommendation and Ad Placement.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Learning Student and Content Embeddings for Personalized Lesson Sequence Recommendation.
Proceedings of the Third ACM Conference on Learning @ Scale, 2016

Unbounded Human Learning: Optimal Scheduling for Spaced Repetition.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Predicting Matchups and Preferences in Context.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Unbiased Comparative Evaluation of Ranking Functions.
Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, 2016

Recommendations as Treatments: Debiasing Learning and Evaluation.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Bayesian Ordinal Aggregation of Peer Assessments: A Case Study on KDD 2015.
Proceedings of the Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016

2015
Analysis of nutrition data by means of a matrix factorization method.
Progress in AI, 2015

Batch learning from logged bandit feedback through counterfactual risk minimization.
Journal of Machine Learning Research, 2015

Coactive Learning.
J. Artif. Intell. Res., 2015

Learning preferences for manipulation tasks from online coactive feedback.
I. J. Robotics Res., 2015

Mapping preferences into Euclidean space.
Expert Syst. Appl., 2015

Counterfactual Risk Minimization.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Unbiased Ranking Evaluation on a Budget.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Learning from User Interactions.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

The Self-Normalized Estimator for Counterfactual Learning.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Bayesian Ordinal Peer Grading.
Proceedings of the Second ACM Conference on Learning @ Scale, 2015

Counterfactual Risk Minimization: Learning from Logged Bandit Feedback.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Evaluation methods for unsupervised word embeddings.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014
Behavior Informatics: A New Perspective.
IEEE Intelligent Systems, 2014

Was this review helpful to you?: it depends! context and voting patterns in online content.
Proceedings of the 23rd International World Wide Web Conference, 2014

Methods for ordinal peer grading.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Taste Space Versus the World: an Embedding Analysis of Listening Habits and Geography.
Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

Reducing Dueling Bandits to Cardinal Bandits.
Proceedings of the 31th International Conference on Machine Learning, 2014

Invited Talk: Learning from Rational Behavior.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Using personalized radio to enhance local music discovery.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

2013
Contextually guided semantic labeling and search for three-dimensional point clouds.
I. J. Robotics Res., 2013

Learning Socially Optimal Information Systems from Egoistic Users.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Learning Trajectory Preferences for Manipulators via Iterative Improvement.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Beyond myopic inference in big data pipelines.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Multi-space probabilistic sequence modeling.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Taste Over Time: The Temporal Dynamics of User Preferences.
Proceedings of the 14th International Society for Music Information Retrieval Conference, 2013

Stable Coactive Learning via Perturbation.
Proceedings of the 30th International Conference on Machine Learning, 2013

Structured Learning of Sum-of-Submodular Higher Order Energy Functions.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Generating comparative summaries from reviews.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Large-scale validation and analysis of interleaved search evaluation.
ACM Trans. Inf. Syst., 2012

Multi-armed Bandit Problems with History.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Online learning to diversify from implicit feedback.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Playlist prediction via metric embedding.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Learning to Embed Songs and Tags for Playlist Prediction.
Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012

Online Structured Prediction via Coactive Learning.
Proceedings of the 29th International Conference on Machine Learning, 2012

Large-Margin Learning of Submodular Summarization Models.
Proceedings of the EACL 2012, 2012

Temporal corpus summarization using submodular word coverage.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Enriching information retrieval.
SIGIR Forum, 2011

Dynamic ranked retrieval.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Semantic Labeling of 3D Point Clouds for Indoor Scenes.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Beat the Mean Bandit.
Proceedings of the 28th International Conference on Machine Learning, 2011

The Value of User Feedback.
Proceedings of the Advances in Information Retrieval, 2011

Structured learning of two-level dynamic rankings.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Introduction to special issue on learning to rank for information retrieval.
Inf. Retr., 2010

Learning more powerful test statistics for click-based retrieval evaluation.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Evaluating Search Engine Relevance with Click-Based Metrics.
Proceedings of the Preference Learning., 2010

2009
Redundancy, diversity and interdependent document relevance.
SIGIR Forum, 2009

Cutting-plane training of structural SVMs.
Machine Learning, 2009

Predicting structured objects with support vector machines.
Commun. ACM, 2009

Identifying the original contribution of a document via language modeling.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Identifying the Original Contribution of a Document via Language Modeling.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Sparse Kernel SVMs via Cutting-Plane Training.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Interactively optimizing information retrieval systems as a dueling bandits problem.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Learning structural SVMs with latent variables.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

The K-armed Dueling Bandits Problem.
Proceedings of the COLT 2009, 2009

2008
Beyond binary relevance: preferences, diversity, and set-level judgments.
SIGIR Forum, 2008

Text categorization.
Scholarpedia, 2008

Eye tracking and online search: Lessons learned and challenges ahead.
JASIST, 2008

Training structural svms with kernels using sampled cuts.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Predicting diverse subsets using structural SVMs.
Proceedings of the Machine Learning, 2008

Learning diverse rankings with multi-armed bandits.
Proceedings of the Machine Learning, 2008

Training structural SVMs when exact inference is intractable.
Proceedings of the Machine Learning, 2008

How does clickthrough data reflect retrieval quality?
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007
Efficient and non-parametric reasoning over user preferences.
User Model. User-Adapt. Interact., 2007

Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search.
ACM Trans. Inf. Syst., 2007

Learning to rank for information retrieval (LR4IR 2007).
SIGIR Forum, 2007

In Google We Trust: Users' Decisions on Rank, Position, and Relevance.
J. Computer-Mediated Communication, 2007

Search Engines that Learn from Implicit Feedback.
IEEE Computer, 2007

A support vector method for optimizing average precision.
Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

Support Vector Training of Protein Alignment Models.
Proceedings of the Research in Computational Molecular Biology, 2007

Information genealogy: uncovering the flow of ideas in non-hyperlinked document databases.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Active exploration for learning rankings from clickthrough data.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Recommending related papers based on digital library access records.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2007

2006
The influence of task and gender on search and evaluation behavior using Google.
Inf. Process. Manage., 2006

Structured Output Prediction with Support Vector Machines.
Proceedings of the Structural, 2006

Training linear SVMs in linear time.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Minimally Invasive Randomization fro Collecting Unbiased Preferences from Clickthrough Logs.
Proceedings of the Proceedings, 2006

2005
Large Margin Methods for Structured and Interdependent Output Variables.
Journal of Machine Learning Research, 2005

Unstructuring User Preferences: Efficient Non-Parametric Utility Revelation.
Proceedings of the UAI '05, 2005

Accurately interpreting clickthrough data as implicit feedback.
Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

Query chains: learning to rank from implicit feedback.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Error bounds for correlation clustering.
Proceedings of the Machine Learning, 2005

A support vector method for multivariate performance measures.
Proceedings of the Machine Learning, 2005

Supervised clustering with support vector machines.
Proceedings of the Machine Learning, 2005

2004
KDD-Cup 2004: results and analysis.
SIGKDD Explorations, 2004

Eye-tracking analysis of user behavior in WWW search.
Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

Support vector machine learning for interdependent and structured output spaces.
Proceedings of the Machine Learning, 2004

2003
SIGIR 2003 workshop report: implicit measures of user interests and preferences.
SIGIR Forum, 2003

Learning a Distance Metric from Relative Comparisons.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Transductive Learning via Spectral Graph Partitioning.
Proceedings of the Machine Learning, 2003

Evaluating Retrieval Performance Using Clickthrough Data.
Text Mining, 2003

2002
Text-Mining - Serviceteil.
KI, 2002

Guest Editors' Introduction to the Special Issue on Automated Text Categorization.
J. Intell. Inf. Syst., 2002

Optimizing search engines using clickthrough data.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

The enigmatics of affect.
Proceedings of the 4th Conference on Designing Interactive Systems: Processes, 2002

2001
The Maximum-Margin Approach to Learning Text Classifiers.
KI, 2001

A Statistical Learning Model of Text Classification for Support Vector Machines.
Proceedings of the SIGIR 2001: Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2001

Composite Kernels for Hypertext Categorisation.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

The maximum-margin approach to learning text classifiers: methods theory, and algorithms.
Proceedings of the Ausgezeichnete Informatikdissertationen 2001, 2001

2000
Knowledge discovery and knowledge validation in intensive care.
Artificial Intelligence in Medicine, 2000

Erratum to "Knowledge discovery and knowledge validation in intensive care".
Artificial Intelligence in Medicine, 2000

Detecting Concept Drift with Support Vector Machines.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Estimating the Generalization Performance of an SVM Efficiently.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999
Support Vector Machines (Aktuelles Schlagwort).
KI, 1999

Expected Error Analysis for Model Selection.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

Combining Statistical Learning with a Knowledge-Based Approach - A Case Study in Intensive Care Monitoring.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

Transductive Inference for Text Classification using Support Vector Machines.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

1998
Browsing-Assistenten, Tour Guides und adaptive WWW-Server.
KI, 1998

Text Categorization with Support Vector Machines: Learning with Many Relevant Features.
Proceedings of the Machine Learning: ECML-98, 1998

Estimating the Expected Error of Empirical Minimizers for Model Selection.
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1997
Web Watcher: A Tour Guide for the World Wide Web.
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization.
Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997


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