Thorsten Joachims

Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling.

[BibT_eX]

[DOI]

Qingyang Ren

Proceedings of the International Conference on Machine Learning, 2023

How to Explain and Justify Almost Any Decision: Potential Pitfalls for Accountability in AI Decision-Making.

[BibT_eX]

[DOI]

Joyce Zhou

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Boosted Off-Policy Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Off-policy evaluation for learning-to-rank via interpolating the item-position model and the position-based model.

[BibT_eX]

[DOI]

Alexander Buchholz

Ben London

Giuseppe Di Benedetto

CoRR, 2022

Fairness in the First Stage of Two-Stage Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Variance-Optimal Augmentation Logging for Counterfactual Evaluation in Contextual Bandits.

[BibT_eX]

[DOI]

Aaron David Tucker

CoRR, 2022

Optimizing Rankings for Recommendation in Matching Markets.

[BibT_eX]

[DOI]

Magd Bayoumi

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

CONSEQUENCES - Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Improving Screening Processes via Calibrated Subset Selection.

[BibT_eX]

[DOI]

Manuel Gomez Rodriguez

Proceedings of the International Conference on Machine Learning, 2022

Off-Policy Evaluation for Large Action Spaces via Embeddings.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

Recommendations as Treatments.

[BibT_eX]

[DOI]

AI Mag., 2021

Policy-Gradient Training of Fair and Unbiased Ranking Functions.

[BibT_eX]

[DOI]

Himank Yadav

Zhengxiao Du

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Counterfactual Learning and Evaluation for Recommender Systems: Foundations, Implementations, and Recent Advances.

[BibT_eX]

[DOI]

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Fairness in Ranking under Uncertainty.

[BibT_eX]

[DOI]

Ashudeep Singh

David Kempe

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Controlling Fairness and Bias in Dynamic Learning-to-Rank (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

User Fairness, Item Fairness, and Diversity for Rankings in Two-Sided Markets.

[BibT_eX]

[DOI]

Proceedings of the ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, 2021

Fairness and Control of Exposure in Two-sided Markets.

[BibT_eX]

[DOI]

Proceedings of the ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, 2021

Fairness of Exposure in Stochastic Bandits.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

An Interview with Dr. Thorsten Joachims, Winner of ACM SIGKDD 2020 Innovation Award.

[BibT_eX]

[DOI]

SIGKDD Explor., 2020

Fairness and Diversity for Rankings in Two-Sided Markets.

[BibT_eX]

[DOI]

CoRR, 2020

Content-based Music Similarity with Triplet Networks.

[BibT_eX]

[DOI]

CoRR, 2020

The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Controlling Fairness and Bias in Dynamic Learning-to-Rank.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

REVEAL 2020: Bandit and Reinforcement Learning from User Interactions.

[BibT_eX]

[DOI]

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

MOReL: Model-Based Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Off-policy Bandits with Deficient Support.

[BibT_eX]

[DOI]

Noveen Sachdeva

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Exploring Acoustic Similarity for Novel Music Recommendation.

[BibT_eX]

[DOI]

Derek Cheng

Douglas R. Turnbull

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

2019

Fair Learning-to-Rank from Implicit Feedback.

[BibT_eX]

[DOI]

Himank Yadav

Zhengxiao Du

CoRR, 2019

Shaping Feedback Data in Recommender Systems with Interventions Based on Information Foraging Theory.

[BibT_eX]

[DOI]

Paul N. Bennett

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Estimating Position Bias without Intrusive Interventions.

[BibT_eX]

[DOI]

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Intervention Harvesting for Context-Dependent Examination-Bias Estimation.

[BibT_eX]

[DOI]

Zhichong Fang

Aman Agarwal

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

A General Framework for Counterfactual Learning-to-Rank.

[BibT_eX]

[DOI]

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

REVEAL 2019: closing the loop with the real world: reinforcement and robust estimators for recommendation.

[BibT_eX]

[DOI]

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Policy Learning for Fairness in Ranking.

[BibT_eX]

[DOI]

Ashudeep Singh

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

CAB: Continuous Adaptive Blending for Policy Evaluation and Learning.

[BibT_eX]

[DOI]

Michele Santacatterina

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Extreme Classification (Dagstuhl Seminar 18291).

[BibT_eX]

[DOI]

Samy Bengio

Krzysztof Dembczynski

Marius Kloft

Manik Varma

Dagstuhl Reports, 2018

CAB: Continuous Adaptive Blending Estimator for Policy Evaluation and Learning.

[BibT_eX]

[DOI]

Michele Santacatterina

CoRR, 2018

Consistent Position Bias Estimation without Online Interventions for Learning-to-Rank.

[BibT_eX]

[DOI]

Aman Agarwal

Ivan Zaitsev

CoRR, 2018

Counterfactual Learning-to-Rank for Additive Metrics and Deep Models.

[BibT_eX]

[DOI]

Aman Agarwal

Ivan Zaitsev

CoRR, 2018

Improving Recommender Systems Beyond the Algorithm.

[BibT_eX]

[DOI]

Paul N. Bennett

CoRR, 2018

Short-Term Satisfaction and Long-Term Coverage: Understanding How Users Tolerate Algorithmic Exploration.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

REVEAL 2018: offline evaluation for recommender systems.

[BibT_eX]

[DOI]

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Deep Learning from Logged Interventions.

[BibT_eX]

[DOI]

Proceedings of the 3rd Workshop on Deep Learning for Recommender Systems, 2018

Fairness of Exposure in Rankings.

[BibT_eX]

[DOI]

Ashudeep Singh

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Unbiased Learning-to-Rank with Biased Feedback.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Deep Learning with Logged Bandit Feedback.

[BibT_eX]

[DOI]

Maarten de Rijke

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Accurately Interpreting Clickthrough Data as Implicit Feedback.

[BibT_eX]

[DOI]

SIGIR Forum, 2017

A preference elicitation interface for collecting dense recommender datasets with rich user information.

[BibT_eX]

[DOI]

CoRR, 2017

Effective Evaluation Using Logged Bandit Feedback from Multiple Loggers.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Web and Social Media, 2017

2016

Latent Skill Embedding for Personalized Lesson Sequence Recommendation.

[BibT_eX]

[DOI]

Siddharth Reddy

Igor Labutov

CoRR, 2016

Large-scale Validation of Counterfactual Learning Methods: A Test-Bed.

[BibT_eX]

[DOI]

CoRR, 2016

Using Shortlists to Support Decision Making and Improve Recommender System Performance.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on World Wide Web, 2016

Modeling Intransitivity in Matchup and Comparison Data.

[BibT_eX]

[DOI]

Shuo Chen

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Counterfactual Evaluation and Learning for Search, Recommendation and Ad Placement.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Siddharth Reddy

Igor Labutov

Proceedings of the Third ACM Conference on Learning @ Scale, 2016

Unbounded Human Learning: Optimal Scheduling for Spaced Repetition.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Predicting Matchups and Preferences in Context.

[BibT_eX]

[DOI]

Shuo Chen

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Unbiased Comparative Evaluation of Ranking Functions.

[BibT_eX]

[DOI]

Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, 2016

Recommendations as Treatments: Debiasing Learning and Evaluation.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

Bayesian Ordinal Aggregation of Peer Assessments: A Case Study on KDD 2015.

[BibT_eX]

[DOI]

Teresita González de Cossío

Proceedings of the Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016

2015

Analysis of nutrition data by means of a matrix factorization method.

[BibT_eX]

[DOI]

Jorge Díez

Edna Gamboa

Oscar Luaces

Antonio Bahamonde

Prog. Artif. Intell., 2015

Batch learning from logged bandit feedback through counterfactual risk minimization.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2015

Coactive Learning.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2015

Learning preferences for manipulation tasks from online coactive feedback.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2015

Mapping preferences into Euclidean space.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2015

Counterfactual Risk Minimization.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Unbiased Ranking Evaluation on a Budget.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Learning from User Interactions.

[BibT_eX]

[DOI]

Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

The Self-Normalized Estimator for Counterfactual Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Bayesian Ordinal Peer Grading.

[BibT_eX]

[DOI]

Proceedings of the Second ACM Conference on Learning @ Scale, 2015

Counterfactual Risk Minimization: Learning from Logged Bandit Feedback.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

Evaluation methods for unsupervised word embeddings.

[BibT_eX]

[DOI]

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014

Behavior Informatics: A New Perspective.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2014

Was this review helpful to you?: it depends! context and voting patterns in online content.

[BibT_eX]

[DOI]

Arpita Ghosh

Proceedings of the 23rd International World Wide Web Conference, 2014

Methods for ordinal peer grading.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Joshua L. Moore

Douglas R. Turnbull

Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

Reducing Dueling Bandits to Cardinal Bandits.

[BibT_eX]

[DOI]

Nir Ailon

Zohar Shay Karnin

Proceedings of the 31th International Conference on Machine Learning, 2014

Invited Talk: Learning from Rational Behavior.

[BibT_eX]

[DOI]

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Using personalized radio to enhance local music discovery.

[BibT_eX]

[DOI]

Douglas R. Turnbull

Justin A. Zupnick

Kristofer B. Stensland

Andrew R. Horwitz

Alexander J. Wolf

Alexander E. Spirgel

Stephen P. Meyerhofer

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

2013

Contextually guided semantic labeling and search for three-dimensional point clouds.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2013

Learning Trajectory Preferences for Manipulators via Iterative Improvement.

[BibT_eX]

[DOI]

Ashesh Jain

Ashutosh Saxena

CoRR, 2013

Structured learning of sum-of-submodular higher order energy functions.

[BibT_eX]

[DOI]

CoRR, 2013

Learning Socially Optimal Information Systems from Egoistic Users.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Learning Trajectory Preferences for Manipulators via Iterative Improvement.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Multi-space probabilistic sequence modeling.

[BibT_eX]

[DOI]

Shuo Chen

Jiexun Xu

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Taste Over Time: The Temporal Dynamics of User Preferences.

[BibT_eX]

[DOI]

Proceedings of the 14th International Society for Music Information Retrieval Conference, 2013

Stable Coactive Learning via Perturbation.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

Structured Learning of Sum-of-Submodular Higher Order Energy Functions.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2013

Generating comparative summaries from reviews.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Maschinelles Lernen und Data Mining.

[BibT_eX]

[DOI]

Stefan Wrobel

Pannagadatta K. Shivaswamy

Katharina Morik

Proceedings of the Handbuch der Künstlichen Intelligenz, 5. Auflage, 2013

2012

Large-scale validation and analysis of interleaved search evaluation.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2012

Multi-armed Bandit Problems with History.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

The K-armed dueling bandits problem.

[BibT_eX]

[DOI]

J. Comput. Syst. Sci., 2012

Online learning to diversify from implicit feedback.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Playlist prediction via metric embedding.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Learning to Embed Songs and Tags for Playlist Prediction.

[BibT_eX]

[DOI]

Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012

Online Structured Prediction via Coactive Learning.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

Large-Margin Learning of Submodular Summarization Models.

[BibT_eX]

[DOI]

Pannagadatta K. Shivaswamy

Proceedings of the EACL 2012, 2012

Temporal corpus summarization using submodular word coverage.

[BibT_eX]

[DOI]

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Enriching information retrieval.

[BibT_eX]

[DOI]

SIGIR Forum, 2011

Contextually Guided Semantic Labeling and Search for 3D Point Clouds

[BibT_eX]

[DOI]

CoRR, 2011

Online Learning with Preference Feedback

[BibT_eX]

[DOI]

CoRR, 2011

Large-Margin Learning of Submodular Summarization Methods

[BibT_eX]

[DOI]

CoRR, 2011

Labeling 3D scenes for Personal Assistant Robots

[BibT_eX]

[DOI]

CoRR, 2011

Dynamic ranked retrieval.

[BibT_eX]

[DOI]

Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Semantic Labeling of 3D Point Clouds for Indoor Scenes.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Yisong Yue

Proceedings of the 28th International Conference on Machine Learning, 2011

The Value of User Feedback.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2011

Structured learning of two-level dynamic rankings.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

Introduction to special issue on learning to rank for information retrieval.

[BibT_eX]

[DOI]

Inf. Retr., 2010

Learning more powerful test statistics for click-based retrieval evaluation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Zhao Xu

Kristian Kersting

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Evaluating Search Engine Relevance with Click-Based Metrics.

[BibT_eX]

[DOI]

Madhu Kurup

Proceedings of the Preference Learning., 2010

2009

Redundancy, diversity and interdependent document relevance.

[BibT_eX]

[DOI]

SIGIR Forum, 2009

Sparse kernel SVMs via cutting-plane training.

[BibT_eX]

[DOI]

Mach. Learn., 2009

Cutting-plane training of structural SVMs.

[BibT_eX]

[DOI]

Thomas Finley

Mach. Learn., 2009

Predicting structured objects with support vector machines.

[BibT_eX]

[DOI]

Commun. ACM, 2009

Identifying the original contribution of a document via language modeling.

[BibT_eX]

[DOI]

Benyah Shaparenko

Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Interactively optimizing information retrieval systems as a dueling bandits problem.

[BibT_eX]

[DOI]

Yisong Yue

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Learning structural SVMs with latent variables.

[BibT_eX]

[DOI]

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

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

[BibT_eX]

[DOI]

SIGIR Forum, 2008

Text categorization.

[BibT_eX]

[DOI]

Yiming Yang

Scholarpedia, 2008

Support Vector Training of Protein Alignment Models.

[BibT_eX]

[DOI]

J. Comput. Biol., 2008

Eye tracking and online search: Lessons learned and challenges ahead.

[BibT_eX]

[DOI]

J. Assoc. Inf. Sci. Technol., 2008

Training structural svms with kernels using sampled cuts.

[BibT_eX]

[DOI]

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Predicting diverse subsets using structural SVMs.

[BibT_eX]

[DOI]

Yisong Yue

Proceedings of the Machine Learning, 2008

Learning diverse rankings with multi-armed bandits.

[BibT_eX]

[DOI]

Robert Kleinberg

Proceedings of the Machine Learning, 2008

Training structural SVMs when exact inference is intractable.

[BibT_eX]

[DOI]

Thomas Finley

Proceedings of the Machine Learning, 2008

How does clickthrough data reflect retrieval quality?

[BibT_eX]

[DOI]

Madhu Kurup

Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007

Efficient and non-parametric reasoning over user preferences.

[BibT_eX]

[DOI]

Carmel Domshlak

User Model. User Adapt. Interact., 2007

Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2007

Learning to rank for information retrieval (LR4IR 2007).

[BibT_eX]

[DOI]

SIGIR Forum, 2007

In Google We Trust: Users' Decisions on Rank, Position, and Relevance.

[BibT_eX]

[DOI]

J. Comput. Mediat. Commun., 2007

Search Engines that Learn from Implicit Feedback.

[BibT_eX]

[DOI]

Computer, 2007

A support vector method for optimizing average precision.

[BibT_eX]

[DOI]

Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

Information genealogy: uncovering the flow of ideas in non-hyperlinked document databases.

[BibT_eX]

[DOI]

Benyah Shaparenko

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Active exploration for learning rankings from clickthrough data.

[BibT_eX]

[DOI]

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Recommending related papers based on digital library access records.

[BibT_eX]

[DOI]

Stefan Pohl

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.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2006

Minimally Invasive Randomization for Collecting Unbiased Preferences from Clickthrough Logs

[BibT_eX]

[DOI]

CoRR, 2006

Evaluating the Robustness of Learning from Implicit Feedback

[BibT_eX]

[DOI]

CoRR, 2006

Structured Output Prediction with Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Structural, 2006

Training linear SVMs in linear time.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Proceedings, 2006

Transductive Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Semi-Supervised Learning, 2006

2005

Large Margin Methods for Structured and Interdependent Output Variables.

[BibT_eX]

[DOI]

Ioannis Tsochantaridis

Thomas Hofmann

Yasemin Altun

J. Mach. Learn. Res., 2005

Unstructuring User Preferences: Efficient Non-Parametric Utility Revelation.

[BibT_eX]

[DOI]

Carmel Domshlak

Proceedings of the UAI '05, 2005

Query chains: learning to rank from implicit feedback.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Error bounds for correlation clustering.

[BibT_eX]

[DOI]

John E. Hopcroft

Proceedings of the Machine Learning, 2005

A support vector method for multivariate performance measures.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2005

Supervised clustering with support vector machines.

[BibT_eX]

[DOI]

Thomas Finley

Proceedings of the Machine Learning, 2005

2004

KDD-Cup 2004: results and analysis.

[BibT_eX]

[DOI]

Rich Caruana

Lars Backstrom

SIGKDD Explor., 2004

Eye-tracking analysis of user behavior in WWW search.

[BibT_eX]

[DOI]

Laura A. Granka

Geri Gay

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.

[BibT_eX]

[DOI]

Ioannis Tsochantaridis

Thomas Hofmann

Yasemin Altun

Proceedings of the Machine Learning, 2004

2003

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

[BibT_eX]

[DOI]

SIGIR Forum, 2003

Mapping Subsets of Scholarly Information

[BibT_eX]

[DOI]

CoRR, 2003

Learning a Distance Metric from Relative Comparisons.

[BibT_eX]

[DOI]

Matthew Schultz

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Transductive Learning via Spectral Graph Partitioning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2003

Evaluating Retrieval Performance Using Clickthrough Data.

[BibT_eX]

Proceedings of the Text Mining, Theoretical Aspects and Applications, 2003

Maschinelles Lernen und Data Mining.

[BibT_eX]

[DOI]

Stefan Wrobel

Katharina Morik

Proceedings of the Handbuch der Künstlichen Intelligenz, 4. Auflage, 2003

2002

Text-Mining - Serviceteil.

[BibT_eX]

Edda Leopold

Künstliche Intell., 2002

Guest Editors' Introduction to the Special Issue on Automated Text Categorization.

[BibT_eX]

[DOI]

Fabrizio Sebastiani

J. Intell. Inf. Syst., 2002

Comparison between various regression depth methods and the support vector machine to approximate the minimum number of misclassifications.

[BibT_eX]

[DOI]

Andreas Christmann

Paul Fischer

Comput. Stat., 2002

Optimizing search engines using clickthrough data.

[BibT_eX]

[DOI]

Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Classification Based on the Support Vector Machine, Regression Depth, and Discriminant Analysis.

[BibT_eX]

[DOI]

Andreas Christmann

Paul Fischer

Proceedings of the COMPSTAT 2002, 2002

The enigmatics of affect.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Designing Interactive Systems: Processes, 2002

Learning to classify text using support vector machines - methods, theory and algorithms.

[BibT_eX]

The Kluwer international series in engineering and computer science 668, Kluwer, ISBN: 978-0-7923-7679-8, 2002

2001

The Maximum-Margin Approach to Learning Text Classifiers.

[BibT_eX]

Künstliche Intell., 2001

A Statistical Learning Model of Text Classification for Support Vector Machines.

[BibT_eX]

[DOI]

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.

[BibT_eX]

Nello Cristianini

John Shawe-Taylor

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.

[BibT_eX]

[DOI]

Proceedings of the Ausgezeichnete Informatikdissertationen 2001, 2001

2000

Knowledge discovery and knowledge validation in intensive care.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2000

Erratum to "Knowledge discovery and knowledge validation in intensive care".

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2000

Detecting Concept Drift with Support Vector Machines.

[BibT_eX]

Ralf Klinkenberg

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.

[BibT_eX]

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).

[BibT_eX]

Künstliche Intell., 1999

Expected Error Analysis for Model Selection.

[BibT_eX]

Tobias Scheffer

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.

[BibT_eX]

Katharina Morik

Peter Brockhausen

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.

[BibT_eX]

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.

[BibT_eX]

Dunja Mladenic

Künstliche Intell., 1998

Text Categorization with Support Vector Machines: Learning with Many Relevant Features.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML-98, 1998

Estimating the Expected Error of Empirical Minimizers for Model Selection.

[BibT_eX]

[DOI]

Tobias Scheffer

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.

[BibT_eX]

Dayne Freitag

Tom M. Mitchell

Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization.

[BibT_eX]