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% This file contains the bibtex for publications of Thorsten Joachims. @InProceedings{Tucker/Joachims/23a, author = {A. Tucker and T. Joachims}, title = {Variance-Optimal Augmentation Logging for Counterfactual Evaluation in Contextual Bandits}, booktitle = {ACM Conference on Web Search and Data Mining (WSDM)}, year = 2023} @InProceedings{Wang/Joachims/23a, author = {Lequn Wang and T. Joachims}, title = {Uncertainty Quantification for Fairness in Two-Stage Recommender Systems}, booktitle = {ACM Conference on Web Search and Data Mining (WSDM)}, year = 2023} @InProceedings{Su/etal/22a, author = {Yi Su and M. Bayoumi and T. Joachims}, title = {Optimizing Rankings for Recommendation in Matching Markets}, booktitle = {ACM Web Conference (WWW)}, year = 2023} @InProceedings{Wang/etal/22a, author = {Lequn Wang and T. Joachims and M. Gomez Rodriguez}, title = {Improving Screening Processes via Calibrated Subset Selection}, booktitle = {International Conference on Machine Learning (ICML)}, year = 2022} @InProceedings{Saito/Joachims/22a, author = {Yuta Saito and T. Joachims}, title = {Off-Policy Evaluation for Large Action Spaces via Embeddings}, booktitle = {International Conference on Machine Learning (ICML)}, year = 2022} @InProceedings{Saito/Joachims/22b, author = {Yuta Saito and T. Joachims}, title = {Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking}, booktitle = {ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)}, year = 2022} @InProceedings{Block/etal/22a, author = {A. Block and R. Kidambi and D. Hill and T. Joachims and I. Dhillon}, title = {Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion}, booktitle = {ACM Conference on Research and Development in Information Retrieval (SIGIR)}, year = 2022} @InProceedings{Tucker/etal/22a, author = {A. Tucker and C. Biddulph and Claire Wang and T. Joachims}, title = {Bandits with Costly Reward Observations}, booktitle = {NeurIPS Workshop on Machine Learning Safety}, year = 2022} @InProceedings{Zhou/Joachims/22a, author = {Joyce Zhou and T. Joachims}, title = {How to Explain and Justify Almost Any Decision: Potential Pitfalls for Accountability in AI Decision-Making}, booktitle = {IJCAI Workshop on Adverse Impacts and Collateral Effects of Artificial Intelligence Technologies}, year = 2022} @InProceedings{Wang/etal/21a, author = {Lequn Wang and Yiwei Bai and Wen Sun and T. Joachims}, title = {Fairness of Exposure in Stochastic Bandits}, booktitle = {International Conference on Machine Learning (ICML)}, year = 2021} @InProceedings{Yadav/etal/21a, author = {H. Yadav and Zhengxiao Du and T. Joachims}, title = {Policy-Gradient Training of Fair and Unbiased Ranking Functions}, booktitle = {ACM Conference on Research and Development in Information Retrieval (SIGIR)}, year = 2021} @InProceedings{Wang/Joachims/21a, author = {Lequn Wang and T. Joachims}, title = {User Fairness, Item Fairness and Diversity for Rankings in Two-Sided Markets}, booktitle = {ACM International Conference on the Theory of Information Retrieval (ICTIR)}, year = 2021} @Article{Joachims/etal/21a, author = {T. Joachims and B. London and Yi Su and A. Swaminathan and Lequn Wang}, title = {Recommendations as Treatments}, journal = {AAAI AI Magazine}, year = 2021, volume = 42, number = 3, pages = {19-30}} @InProceedings{Singh/etal/21a, author = {A. Singh and D. Kempe and T. Joachims}, title = {Fairness in Ranking under Uncertainty}, booktitle = {Neural Information Processing Systems (NeurIPS)}, year = 2021} @InProceedings{Morik/etal/20a, author = {M. Morik and A. Singh and Jessica Hong and T. Joachims}, title = {Controlling Fairness and Bias in Dynamic Learning-to-Rank}, booktitle = {ACM Conference on Research and Development in Information Retrieval (SIGIR)}, year = 2020} @InProceedings{Schnabel/etal/20a, author = {T. Schnabel and S. Amershi and P. Bennett and P. Bailey and T. Joachims}, title = {The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation}, booktitle = {ACM Conference on Research and Development in Information Retrieval (SIGIR)}, year = 2020} @InProceedings{Sachdeva/etal/20a, author = {N. Sachdeva and Yi Su and T. Joachims}, title = {Off-policy Bandits with Deficient Support}, booktitle = {ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)}, year = 2020} @InProceedings{Su/Joachims/20a, author = {Yi Su and T. Joachims}, title = {Rankings for Two-Sided Market Platforms}, booktitle = {NeurIPS Workshop on Consequential Decisions in Dynamic Environments}, year = 2020} @InProceedings{Kidambi/etal/20a, author = {R. Kidambi and A. Rajeswaran and P. Netrapalli and T. Joachims}, title = {MOReL: Model-Based Offline Reinforcement Learning}, booktitle = {Conference on Neural Information Processing Systems (NeurIPS)}, year = 2020} @InProceedings{Singh/Joachims/19a, author = {A. Singh and T. Joachims}, title = {Policy Learning for Fairness in Rankings}, booktitle = {Neural Information Processing Systems (NeurIPS)}, year = 2019} @InProceedings{Wang/etal/19a, author = {Lequn Wang and Yiwei Bai and A. Bhalla and T. Joachims}, title = {Batch Learning from Bandit Feedback through Bias Corrected Reward Imputation}, booktitle = {ICML Workshop on Real-World Sequential Decision Making}, year = 2019} @InProceedings{Su/etal/19a, author = {Yi Su and Lequn Wang and M. Santacatterina and T. Joachims}, title = {CAB: Continuous Adaptive Blending for Policy Evaluation and Learning}, booktitle = {International Conference on Machine Learning (ICML)}, year = 2019} @InProceedings{Agarwal/etal/19b, author = {A. Agarwal and K. Takatsu and I. Zaitsev and T. Joachims}, title = {A General Framework for Counterfactual Learning-to-Rank}, booktitle = {ACM Conference on Research and Development in Information Retrieval (SIGIR)}, year = 2019} @InProceedings{Fang/etal/19a, author = {Zhichong Fang and A. Agarwal and T. Joachims}, title = {Intervention Harvesting for Context-Dependent Examination-Bias Estimation}, booktitle = {ACM Conference on Research and Development in Information Retrieval (SIGIR)}, year = 2019} @InProceedings{Schnabel/etal/19a, author = {T. Schnabel and P. Bennett and T. Joachims}, title = {Shaping Feedback Data in Recommender Systems with Interventions Based on Information Foraging Theory}, booktitle = {International Conference on Web Search and Data Mining (WSDM)}, year = 2019} @InProceedings{Agarwal/etal/19a, author = {A. Agarwal and I. Zaitsev and Xuanhui Wang and Cheng Li and M. Najork and T. Joachims}, title = {Estimating Position Bias Without Intrusive Interventions}, booktitle = {International Conference on Web Search and Data Mining (WSDM)}, year = 2019} @InProceedings{Agarwal/etal/18b, author = {A. Agarwal and I. Zaitsev and T. Joachims}, title = {Counterfactual Learning-to-Rank for Additive Metrics and Deep Models}, booktitle = {ICML Workshop on Machine Learning for Causal Inference, Counterfactual Prediction, and Autonomous Action (CausalML)}, year = 2018} @InProceedings{Agarwal/etal/18c, author = {A. Agarwal and I. Zaitsev and T. Joachims}, title = {Consistent Position Bias Estimation without Online Interventions for Learning-to-Rank}, booktitle = {ICML Workshop on Machine Learning for Causal Inference, Counterfactual Prediction, and Autonomous Action (CausalML)}, year = 2018} @InProceedings{Su/etal/18a, author = {Yi Su and A. Agarwal and T. Joachims}, title = {Learning from Logged Bandit Feedback of Multiple Loggers}, booktitle = {ICML Workshop on Machine Learning for Causal Inference, Counterfactual Prediction, and Autonomous Action (CausalML)}, year = 2018} @InProceedings{Singh/Joachims/18a, author = {A. Singh and T. Joachims}, title = {Fairness of Exposure in Rankings}, booktitle = {ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)}, year = 2018} @InProceedings{Schnabel/etal/18a, author = {T. Schnabel and P. Bennett and S. Dumais and T. Joachims}, title = {Short-Term Satisfaction and Long-Term Coverage: Understanding How Users Tolerate Algorithmic Exploration}, booktitle = {International Conference on Web Search and Data Mining (WSDM)}, year = 2018} @InProceedings{Joachims/etal/18a, author = {T. Joachims and A. Swaminathan and M. de Rijke}, title = {Deep Learning with Logged Bandit Feedback}, booktitle = {International Conference on Learning Representations (ICLR)}, year = 2018} @InProceedings{Agarwal/etal/17a, author = {A. Agarwal and S. Basu and T. Schnabel and T. Joachims}, title = {Effective Evaluation using Logged Bandit Feedback from Multiple Loggers}, booktitle = {ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)}, year = {2017} } @InProceedings{Lefortier/etal/16a, author = "D. Lefortier and A. Swaminathan and Xiaotao Gu and T. Joachims and M. de Rijke", title = "Large-scale Validation of Counterfactual Learning Methods: {A} Test-Bed", booktitle = "NeurIPS 2016 What-If Workshop", year = "2016", URL = "http://arxiv.org/abs/1612.00367" } @InProceedings{Analytis/etal/17a, title = "Ranking with Social Cues: Integrating Online Review Scores and Popularity Information", author = "P. Analytis and A. Delfino and J. K{\"a}mmer and M. Moussa{\"i}d and T. Joachims", publisher = "AAAI Press", year = "2017", booktitle = "International Conference on Web and Social Media (ICWSM)", pages = "468--471" } @InProceedings{Joachims/etal/17a, author = {T. Joachims and A. Swaminathan and T. Schnabel}, title = {Unbiased Learning-to-Rank with Biased Feedback}, booktitle = {ACM Conference on Web Search and Data Mining (WSDM)}, pages = {781--789}, year = 2017} @InProceedings{Singh/Joachims/17a, author = {A. Singh and T. Joachims}, title = {Learning Item Embeddings using Biased Feedback}, booktitle = {NeurIPS Workshop on Causal Inference and Machine Learning for Intelligent Decision Making}, year = 2017 } @InProceedings {Joachims/Swaminathan/16a, author = {T. Joachims and A. Swaminathan}, title = {Tutorial on Counterfactual Evaluation and Learning for Search, Recommendation and Ad Placement}, booktitle = {ACM Conference on Research and Development in Information Retrieval (SIGIR)}, pages = {1199--1201}, year = 2016, annote = {http://www.cs.cornell.edu/\~adith/CfactSIGIR2016/} } @InProceedings{Schnabel/etal/16a, author = {T. Schnabel and P. Bennett and S. Dumais and T. Joachims}, title = {Using Shortlists to Support Decision Making and Improve Recommender System Performance}, booktitle = {World Wide Web Conference (WWW)}, year = 2016, pages = {987--997}} @InProceedings{Schnabel/etal/16b, author = {T. Schnabel and A. Swaminathan and A. Singh and N. Chandak and T. Joachims}, title = {Recommendations as Treatments: Debiasing Learning and Evaluation}, booktitle = {International Conference on Machine Learning (ICML)}, year = 2016} @InProceedings{Schnabel/etal/16c, author = {T. Schnabel and A. Swaminathan and P. Frazier and T. Joachims}, title = {Unbiased Comparative Evaluation of Ranking Functions}, booktitle = {ACM International Conference on the Theory of Information Retrieval (ICTIR)}, pages = {109--118}, year = 2016} @InCollection{Joachims/Raman/16a, author = {T. Joachims and K. Raman}, title = {Bayesian Ordinal Aggregation of Peer Assessments: A Case Study on KDD}, booktitle = {Festschrift for Katharina Morik}, publisher = {Springer}, year = 2016} @InProceedings{Chen/Joachims/16a, author = {Shuo Chen and T. Joachims}, title = {Modeling Intransitivity in Matchup and Comparison Data}, booktitle = {ACM Conference on Web Search and Data Mining (WSDM)}, year = 2016, pages = {227--236}} @InProceedings{Chen/Joachims/16b, author = {Shuo Chen and T. Joachims}, title = {Predicting Matchups and Preferences in Context}, booktitle = {ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)}, pages = {775--784}, year = 2016} @InProceedings{Reddy/etal/16a, author = {S. Reddy and I. Labutov and T. Joachims}, title = {Learning Student and Content Embeddings for Personalized Lesson Sequence Recommendation}, booktitle = {ACM Conference on Learning at Scale}, year = 2016} @InProceedings{Reddy/etal/16c, author = {S. Reddy and I. Labutov and S. Banerjee and T. Joachims}, title = {Unbounded Human Learning: Optimal Scheduling for Spaced Repetition}, booktitle = {ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)}, pages = {1815--1824}, year = 2016} @InProceedings{Joachims/15a, author = {T. Joachims}, title = {Learning from User Interactions, Keynote Talk}, booktitle = {International Conference on Web Search and Data Mining (WSDM)}, year = 2015} @InProceedings{Joachims/15b, author = {T. Joachims}, title = {Learning from Rational Behavior, Keynote Talk}, booktitle = {Microsoft Computing in the 21st Century Conference (21CCC)}, year = 2015} @InProceedings{Joachims/15c, author = {T. Joachims}, title = {Online and Batch Learning with Interventions, Keynote Talk}, booktitle = {Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD)}, year = 2015} @InProceedings{Swaminathan/Joachims/15a, author = {A. Swaminathan and T. Joachims}, title = {Counterfactual Risk Minimization: Learning from Logged Bandit Feedback}, booktitle = {WWW Workshop on Offline and Online Evaluation of Web-based Services}, year = 2015} @InProceedings{Swaminathan/Joachims/15b, author = {A. Swaminathan and T. Joachims}, title = {Counterfactual Risk Minimization: Learning from Logged Bandit Feedback}, booktitle = {International Conference on Machine Learning (ICML)}, pages = {814--823}, year = 2015} @Article{Swaminathan/Joachims/15c, author = {A. Swaminathan and T. Joachims}, title = {Batch Learning from Logged Bandit Feedback through Counterfactual Risk Minimization}, journal = {Journal of Machine Learning Research (JMLR)}, year = 2015, volume = 16, pages = {1731--1755}, month = {Sep}, note = {Special Issue in Memory of Alexey Chervonenkis}} @InProceedings{Swaminathan/Joachims/15d, author = {A. Swaminathan and T. Joachims}, title = {The Self-Normalized Estimator for Counterfactual Learning}, booktitle = {Neural Information Processing Systems (NeurIPS)}, year = 2015} @InProceedings{Schnabel/etal/15a, author = {T. Schnabel and A. Swaminathan and T. Joachims}, title = {Unbiased Ranking Evaluation on a Budget}, booktitle = {WWW Workshop on Offline and Online Evaluation of Web-based Services}, year = 2015} @InProceedings{Schnabel/etal/15b, author = {T. Schnabel and I. Labutov and D. Mimno and T. Joachims}, title = {Evaluation Methods for Unsupervised Word Embeddings}, booktitle = {Conference on Empirical Methods in Natural Language Processing (EMNLP)}, pages = {298--307}, year = 2015} @InProceedings{Raman/Joachims/15a, author = {K. Raman and T. Joachims}, title = {Bayesian Ordinal Peer Grading}, booktitle = {ACM Conference on Learning at Scale}, pages = {149--156}, year = 2015} @Proceedings{Joachims/etal/15a, title = {Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining}, year = 2015, editor = {T. Joachims and G. Webb and D. Margineantu and G. Williams}, address = {Sydney, Australia}} @InProceedings{Joachims/14a, author = {T. Joachims}, title = {Learning from Rational Behavior, Keynote Talk}, booktitle = {Conference on Empirical Methods in Natural Language Processing (EMNLP)}, year = 2014} @inproceedings{Sipos/etal/14a, author = {Sipos, Ruben and Ghosh, Arpita and Joachims, Thorsten}, title = {Was This Review Helpful to You?: It Depends! Context and Voting Patterns in Online Content}, booktitle = {International Conference on World Wide Web (WWW)}, pages = {337--348}, year = 2014 } @InProceedings{Raman/Joachims/14a, author = {K. Raman and T. Joachims}, title = {Methods for Ordinal Peer Grading}, booktitle = {ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)}, pages = {1037--1046}, year = 2014 } @InProceedings{Raman/Joachims/14b, author = {K. Raman and T. Joachims}, title = {Bayesian Ordinal Peer Grading}, booktitle = {NeurIPS Workshop on Human Propelled Machine Learning}, year = 2014} @InProceedings{Moore/etal/14a, author = {J. L. Moore and T. Joachims and D. Turnbull}, title = {Taste Space Versus the World: an Embedding Analysis of Listening Habits and Geography}, booktitle = {Conference of the International Society for Music Information Retrieval Conference (ISMIR)}, pages = {439--444}, year = 2014} @inproceedings{Turnbull/etal/14a, author = {Turnbull, Douglas R. and Zupnick, Justin A. and Stensland, Kristofer B. and Horwitz, Andrew R. and Wolf, Alexander J. and Spirgel, Alexander E. and Meyerhofer, Stephen P. and Joachims, Thorsten}, title = {Using Personalized Radio to Enhance Local Music Discovery}, booktitle = {Extended Abstracts on Human Factors in Computing Systems (CHI)}, pages = {2023--2028}, year = 2014 } @InProceedings{Labutov/etal/14a, author = {I. Labutov and K. Luu and T. Joachims and H. Lipson}, title = {Peer Mediated Testing}, booktitle = {KDD Workshop on Data Mining for Educational Assessment and Feedback (ASSESS 2014)}, year = 2014} @InProceedings{Ailon/etal/14a, author = {N. Ailon and T. Joachims and Z. Karnin}, title = {Reducing Dueling Bandits to Cardinal Bandits}, booktitle = {International Conference on Machine Learning (ICML)}, pages = {856--864}, year = 2014 } @InProceedings{Joachims/13a, author = {T. Joachims}, title = {Learning with Humans in the Loop, Keynote Talk}, booktitle = {European Conference on Machine Learning (ECML)}, year = 2013} @article{Anand/etal/13a, author = {Abhishek Anand and Hema Swetha Koppula and Thorsten Joachims and Ashutosh Saxena}, title = {Contextually guided semantic labeling and search for three-dimensional point clouds}, journal = {International Journal of Robotics Research}, volume = 32, number = 1, pages = {19-34}, year = 2013 } @inproceedings{Sipos/Joachims/13a, author = {R. Sipos and T. Joachims}, title = {Generating comparative summaries from reviews}, booktitle = {International Conference on Information and Knowledge Management (CIKM)}, pages = {1853--1856}, year = 2013 } @InProceedings{Raman/Joachims/13a, author = {K. Raman and T. Joachims}, title = {Learning Socially Optimal Information Systems from Egoistic Users}, booktitle = {European Conference on Machine Learning (ECML)}, pages = {128-144}, year = 2013 } @InProceedings{Fix/etal/13a, author = {A. Fix and T. Joachims and Sung Min Park and R. Zabih}, title = {Structured Learning of Sum-of-Submodular Higher Order Energy Functions}, booktitle = {International Conference on Computer Vision (ICCV)}, pages = {3104-3111}, year = 2013 } @InProceedings{Moore/etal/13a, author = {J. Moore and Shuo Chen and D. Turnbull and T. Joachims}, title = {Taste Over Time: The Temporal Dynamics of User Preferences}, booktitle = {Conference of the International Society for Music Information Retrieval Conference (ISMIR)}, pages = {401-406}, year = 2013 } @InProceedings{Raman/etal/13a, author = {K. Raman and T. Joachims and P. Shivaswamy and T. Schnabel}, title = {Stable Coactive Learning via Perturbation}, booktitle = {International Conference on Machine Learning (ICML)}, pages = {837-845}, year = 2013 } @InProceedings{Raman/etal/13b, author = {K. Raman and A. Swaminathan and J. Gehrke and T. Joachims}, title = {Beyond Myopic Inference in Big Data Pipelines}, booktitle = {ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)}, pages = {86--94}, year = 2013 } @InProceedings{Chen/etal/13a, author = {Shuo Chen and Jiexun Xu and T. Joachims}, title = {Multi-space Probabilistic Sequence Modeling}, booktitle = {ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)}, pages = {865--873}, year = 2013 } @InProceedings{Jain/etal/13a, author = {A. Jain and B. Wojcik and T. Joachims and A. Saxena}, title = {Learning Trajectory Preferences for Manipulators via Iterative Improvement}, booktitle = {Neural Information Processing Systems (NeurIPS)}, pages = {575-583}, year = 2013 } @InProceedings{Chen/etal/12a, author = {Shuo Chen and J. Moore and D. Turnbull and T. Joachims}, title = {Playlist Prediction via Metric Embedding}, booktitle = {ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)}, pages = {714--722}, year = 2012 } @InProceedings{Raman/etal/12b, author = {K. Raman and P. Shivaswamy and T. Joachims}, title = {Online Learning to Diversify from Implicit Feedback}, booktitle = {ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)}, pages = {705--713}, year = 2012 } @InProceedings{Moore/etal/12a, author = {J. Moore and Shuo Chen and T. Joachims and D. Turnbull}, title = {Learning to Embed Songs and Tags for Playlist Prediction}, booktitle = {Conference of the International Society for Music Information Retrieval (ISMIR)}, pages = {349--354}, year = 2012 } @InProceedings{Shivaswamy/Joachims/12a, author = {P. Shivaswamy and T. Joachims}, title = {Online Structured Prediction via Coactive Learning}, booktitle = {International Conference on Machine Learning (ICML)}, pages= {1431--1438}, year = 2012 } @InProceedings{Shivaswamy/Joachims/12b, author = {P. Shivaswamy and T. Joachims}, title = {Multi-armed Bandit Problems with History}, booktitle = {Conference on Artificial Intelligence and Statistics (AISTATS)}, year = 2012 } @Article{Bennett/etal/11a, author = {P. Bennett and K. El-Arini and T. Joachims and K. Svore}, title = {Enriching Information Retrieval}, journal = {SIGIR Forum}, year = 2011, volume = 45, number = 2, pages = {60--65} } @Article{Chapelle/etal/12a, author = {O. Chapelle and T. Joachims and F. Radlinski and Yisong Yue}, title = {Large-Scale Validation and Analysis of Interleaved Search Evaluation}, journal = {ACM Transactions on Information Systems (TOIS)}, year = 2012, volume = 30, number = 1, pages = {6:1--6:41} } @Article{Yue/etal/12a, author = {Yisong Yue and J. Broder and R. Kleinberg and T. Joachims}, title = {The K-armed Dueling Bandits Problem}, journal = {Journal of Computer and System Sciences}, year = 2012, pages = {in press}} @InProceedings{Sipos/etal/12a, author = {R. Sipos and P. Shivaswamy and T. Joachims}, title = {Large-Margin Learning of Submodular Summarization Models}, booktitle = {Conference of the European Chapter of the Association for Computational Linguistics (EACL)}, year = 2012} @InProceedings{Raman/etal/12a, author = {K. Raman and P. Shivaswamy and T. Joachims}, title = {Learning to Diversify from Implicit Feedback}, booktitle = {WSDM Workshop on Diversity in Document Retrieval}, year = 2012} @InProceedings{Shivaswamy/Joachims/11b, author = {P. Shivaswamy and T. Joachims}, title = {Online Learning with Preference Feedback}, booktitle = {NeurIPS Workshop on Choice Models and Preference Learning}, year = 2011} @InProceedings{Koppula/etal/11, author = {H. Koppula and A. Anand and T. Joachims and A. Saxena}, title = {Semantic Labeling of {3D} Point Clouds for Indoor Scenes}, booktitle = {Conference on Neural Information Processing Systems (NeurIPS)}, year = 2011 } @InProceedings{Raman/etal/11a, author = {K. Raman and T. Joachims and P. Shivaswamy}, title = {Structured Learning of Two-Level Dynamic Rankings}, booktitle = {Conference on Information and Knowledge Management (CIKM)}, year = 2011 } @InProceedings{Brandt/etal/11a, author = {C. Brandt and T. Joachims and Yisong Yue and J. Bank}, title = {Dynamic Ranked Retrieval}, booktitle = {ACM International Conference on Web Search and Data Mining (WSDM)}, pages = {247--256}, year = 2011 } @InProceedings{Yue/Joachims/11a, author = {Yisong Yue and T. Joachims}, title = {Beat the Mean Bandit}, booktitle = {International Conference on Machine Learning (ICML)}, pages = {241--248}, year = 2011 } @Proceedings{conf/icml/2010, title = "Proceedings of the 27th International Conference on Machine Learning ({ICML}), June 21-24, 2010, Haifa, Israel", publisher = "Omnipress", year = "2010", booktitle = "ICML", editor = "J. F{\"u}rnkranz and T. Joachims", } @InProceedings{Xu/etal/10a, author = {Z. Xu and K. Kersting and T. Joachims}, title = {Fast Active Exploration for Link-Based Preference Learning using Gaussian Processes}, booktitle = ecml, pages = {499--514}, year = 2010 } @InCollection{Radlinski/etal/10a, author = {F. Radlinski and M. Kurup and T. Joachims}, title = {Evaluating Search Engine Relevance with Click-Based Metrics}, booktitle = {Preference Learning}, pages = {337-362}, publisher = {Springer}, year = 2011, editor = {J. Fuernkranz and E. Huellermeier} } @inproceedings{Yue/etal/10a, author = {Yisong Yue and Yue Gao and O. Chapelle and Ya Zhang and T. Joachims}, title = {Learning more Powerful Test Statistics for Click-Based Retrieval Evaluation}, booktitle = {ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)}, year = {2010}, pages = {507--514} } @Article{Joachims/etal/09b, author = {T. Joachims and T. Hofmann and Yisong Yue and Chun-Nam Yu}, title = {Predicting Structured Objects with Support Vector Machines}, journal = {Communications of the ACM, Research Highlight}, year = 2009, volume = 52, number = 11, pages = {97-104}, month = {November} } @Article{Joachims/etal/09a, author = {T. Joachims and T. Finley and Chun-Nam Yu}, title = {Cutting-Plane Training of Structural SVMs}, journal = {Machine Learning}, volume = 77, number = 1, pages = {27-59}, year = {2009} } @InProceedings{Yu/Joachims/09a, author = {Chun-Nam Yu and T. Joachims}, title = {Learning Structural SVMs with Latent Variables}, booktitle = {International Conference on Machine Learning (ICML)}, year = 2009 } @InProceedings{Yue/Joachims/09a, author = {Yisong Yue and T. Joachims}, title = {Interactively Optimizing Information Retrieval Systems as a Dueling Bandits Problem}, booktitle = {International Conference on Machine Learning (ICML)}, pages = {151--159}, year = 2009 } @InProceedings{Yue/etal/09a, author = {Yisong Yue and J. Broder and R. Kleinberg and T. Joachims}, title = {The K-armed Dueling Bandits Problem}, booktitle = {Conference on Learning Theory (COLT)}, pages = {53--62}, year = 2009 } @InProceedings{Shaparenko/Joachims/09a, author = {B. Shaparenko and T. Joachims}, title = {Identifying the Original Contribution of a Document via Language Modeling}, booktitle = {ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)}, note = {poster abstract}, pages = {696--697}, year = 2009 } @InProceedings{Shaparenko/Joachims/09b, author = {B. Shaparenko and T. Joachims}, title = {Identifying the Original Contribution of a Document via Language Modeling}, booktitle = {European Conference on Machine Learning (ECML)}, pages = {350--365}, year = 2009 } @Article{Joachims/Yu/09a, author = {T. Joachims and Chun-Nam Yu}, title = {Sparse Kernel SVMs via Cutting-Plane Training}, journal = {Machine Learning}, year = 2009, volume = 76, number = {2-3}, pages = {179-193}, note = {European Conference on Machine Learning (ECML) Special Issue} } @InProceedings{Radlinski/etal/08b, author = {F. Radlinski and M. Kurup and T. Joachims}, title = {How Does Clickthrough Data Reflect Retrieval Quality?}, booktitle = {Conference on Information and Knowledge Management (CIKM)}, year = 2008 } @InProceedings{Yu/Joachims/08b, author = {Chun-Nam Yu and T. Joachims}, title = {Training Structural SVMs with Kernels Using Sampled Cuts}, booktitle = {ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)}, pages = {794-802}, year = 2008 } @Article{Yu/etal/08a, author = {Chun-Nam Yu and T. Joachims and R. Elber and J. Pillardy}, title = {Support Vector Training of Protein Alignment Models}, journal = {Journal of Computational Biology}, year = 2008, volume = 15, number = 7, pages = {867-880}, month = {September} } @InProceedings{Radlinski/etal/08a, author = {F. Radlinski and R. Kleinberg and T. Joachims}, title = {Learning Diverse Rankings with Multi-Armed Bandits}, booktitle = {International Conference on Machine Learning (ICML)}, year = 2008, pages = {784--791}, note = {First presented at NeurIPS07 Workshop on Machine Learning for Web Search} } @InProceedings{Finley/Joachims/08a, author = {T. Finley and T. Joachims}, title = {Training Structural {SVMs} when Exact Inference is Intractable}, booktitle = {International Conference on Machine Learning (ICML)}, pages = {304--311}, year = 2008 } @InProceedings{Yue/Joachims/08a, author = {Yisong Yue and T. Joachims}, title = {Predicting Diverse Subsets Using Structural {SVMs}}, booktitle = {International Conference on Machine Learning (ICML)}, pages = {271--278}, year = 2008 } @inproceedings{Armstrong/etal/95a, author = {R. Armstrong and D. Freitag and T. Joachims and T. Mitchell}, address = {Stanford}, booktitle = {AAAI Spring Symposium on Information Gathering from Heterogeneous, Distributed Environments}, title = {{WebWatcher}: A Learning Apprentice for the {W}orld {W}ide {W}eb}, year = 1995, pages = {6--12} } @InProceedings{Finley/Joachims/07a, author = {T. Finley and T. Joachims}, title = {Parameter Learning for Loopy Markov Random Fields with Structural Support Vector Machines}, booktitle = {ICML Workshop on Constrained Optimization and Structured Output Spaces}, year = 2007 } @InCollection{Armstrong/etal/98a, author = {R. Armstrong and D. Freitag and T. Joachims and T. Mitchell}, booktitle = {Machine Learning and Data Mining}, title = {{WebWatcher}: A Learning Apprentice for the {W}orld {W}ide {W}eb}, publisher = {Wiley}, year = {1998}, editor = {R. Michalski and I. Bratko and M. Kubat}, pages = {297-312}, annote = {reprinted from: Proceedings of the 1995 AAAI Spring Symposium on Information Gathering from Heterogeneous, Distributed Environments} } @InProceedings{Aya/etal/05, author = {S. Aya and C. Lagoze and T. Joachims}, title = {Citation Classification and its Applications}, booktitle = {International Conference on Knowledge Management (ICKM)}, year = 2005 } @TechReport{Banken/etal/00, author = {M. Banken and C. Fischbach and O. Geppert and M. Hoevener and J. Jaegerskuepper and T. Joachims and V. Kaschlun and R. Klinkenberg and N. Malzahn and A. Masloch and M. Podvoiskaia and N. Schoeter}, title = {Projektgruppe {BotIshelly} - Intelligente Internet Softbots}, institution = {Universit{\"a}t Dortmund}, year = 2000, address = {http://www-ai.cs.uni-dortmund.de/LEHRE/PG/PG343} } @InProceedings{Boyan/etal/96a, author = {J. Boyan and D. Freitag and T. Joachims}, title = {A Machine Learning Architecture for Optimizing Web Search Engines}, booktitle = {AAAI Workshop on Internet Based Information Systems}, year = 1996, month = {August}, pages = {1 -- 8} } @Proceedings{Caruana/Joachims/02, title = {Beyond Classification and Regression: Learning Ranking, Preferences, Equality Predicates, and Other Structures}, year = 2002, booktitle = {Workshop at the Conference on Neural Information Processing Systems (NeurIPS)}, editor = {R. Caruana and T. Joachims}, address = {http://www.joachims.org} } @Article{Caruana/etal/04, author = {R. Caruana and T. Joachims and L. Backstrom.}, title = {KDDCup 2004: Results and Analysis}, journal = {ACM SIGKDD Newsletter}, year = 2004, volume = 6, number = 2, pages = {95-108} } @InProceedings{Domshlak/Joachims/05a, author = {C. Domshlak and T. Joachims}, title = {Unstructuring User Preferences: Efficient Non-Parametric Utility Revelation}, booktitle = {Conference on Uncertainty in Artificial Intelligence (UAI)}, pages = "169-177", year = 2005 } @Article{Domshlak/Joachims/07a, author = {C. Domshlak and T. Joachims}, title = {Efficient and Non-parametric Reasoning over User Preferences}, journal = {User Modeling and User-Adapted Interaction (UMUAI)}, year = 2007, publisher = {Springer}, volume = 17, number = {1-2}, pages = {41-69}, month = {April} } @InProceedings{Finley/Joachims/05a, author = {T. Finley and T. Joachims}, title = {Supervised Clustering with Support Vector Machines}, booktitle = {International Conference on Machine Learning (ICML)}, pages = {217-224}, year = 2005 } @InProceedings{Ginsparg/etal/04a, author = {P. Ginsparg and P. Houle and T. Joachims and J.-H. Sul}, title = {Mapping Subsets of Scholarly Information}, booktitle = {Proceedings of the National Academy of Sciences of the USA (PNAS)}, pages = {5236-5240}, year = 2004, volume = 101 } @InProceedings{Granka/etal/04, author = {L. Granka and T. Joachims and G. Gay}, title = {Eye-Tracking Analysis of User Behavior in WWW Search}, booktitle = {ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)}, pages = {478-479}, year = 2004 } @InProceedings{Joachims/00a, author = {T. Joachims}, title = {Estimating the Generalization Performance of a {SVM} Efficiently}, booktitle = {International Conference on Machine Learning}, publisher = {Morgan Kaufman}, address = {San Francisco}, pages = {431--438}, year = 2000 } @TechReport{Joachims/00b, author = {T. Joachims}, title = {Efficient Model Selection for Text Classification with {SVM}}, institution = {Universit\"{a}t Dortmund, LS VIII}, type = {{LS8}-Report}, number = 26, year = 2000 } @PhdThesis{Joachims/00c, author = {T. Joachims}, title = {The Maximum Margin Approach to Learning Text Classifiers: Methods, Theory, and Algorithms}, school = {Universit\"{a}t Dortmund, Informatik, LS VIII}, year = 2000, } @InProceedings{Joachims/01a, author = {T. Joachims}, title = {A Statistical Learning Model of Text Classification with Support Vector Machines}, booktitle = {ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)}, year = 2001, pages = {128--136} } @Book{Joachims/02a, author = {T. Joachims}, title = {Learning to Classify Text Using Support Vector Machines -- Methods, Theory, and Algorithms}, publisher = {Kluwer/Springer}, year = 2002 } @InProceedings{Joachims/02b, author = {T. Joachims}, title = {Unbiased Evaluation of Retrieval Quality Using Clickthrough Data}, booktitle = {SIGIR Workshop on Mathematical/Formal Methods in Information Retrieval}, year = 2002 } @InProceedings{Joachims/02c, author = {T. Joachims}, title = {Optimizing Search Engines Using Clickthrough Data}, booktitle = {ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)}, pages = "133--142", year = 2002 } @InProceedings{Joachims/03a, author = {T. Joachims}, title = {Transductive Learning via Spectral Graph Partitioning}, booktitle = {International Conference on Machine Learning (ICML)}, pages = "290--297", year = 2003 } @Unpublished{Joachims/03b, author = {T. Joachims}, title = {Learning to Align Sequences: A Maximum-Margin Approach}, note = {online manuscript}, month = {August}, year = 2003 } @InCollection{Joachims/03c, author = {T. Joachims}, title = {Evaluating Retrieval Performance using Clickthrough Data}, booktitle = {Text Mining}, pages = {79-96}, publisher = {Physica/Springer Verlag}, year = 2003, editor = {J. Franke and G. Nakhaeizadeh and I. Renz} } @InProceedings{Joachims/05a, author = {T. Joachims}, title = {A Support Vector Method for Multivariate Performance Measures}, booktitle = {International Conference on Machine Learning (ICML)}, pages = "377--384", year = 2005 } @InProceedings{Joachims/06a, author = {T. Joachims}, title = {Training Linear {SVMs} in Linear Time}, booktitle = {ACM SIGKDD International Conference On Knowledge Discovery and Data Mining (KDD)}, pages = {217--226}, year = 2006 } @InProceedings{Joachims/06b, author = {T. Joachims}, title = {Structured Output Prediction with Support Vector Machines}, booktitle = {Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR) and Statistical Techniques in Pattern Recognition (SPR)}, pages = "1--7", year = 2006 } @mastersthesis{Joachims/96a, author = {T. Joachims}, month = {December}, school = {{F}achbereich {I}nformatik, {U}niversit{\"a}t {D}ortmund}, title = {Einsatz eines intelligenten, lernenden {A}genten f{\"u}r das {W}orld {W}ide {W}eb}, type = {Diplomarbeit}, year = 1996 } @inproceedings{Joachims/97a, author = {T. Joachims}, booktitle = {International Conference on Machine Learning (ICML)}, title = {A Probabilistic Analysis of the {R}occhio Algorithm with {TFIDF} for Text Categorization}, pages = {143--151}, year = 1997 } @TechReport{Joachims/97b, author = {T. Joachims}, title = {Text Categorization with Support Vector Machines: Learning with Many Relevant Features}, institution = {Universit{\"a}t Dortmund, LS VIII-Report}, year = {1997}, number = {23} } @InProceedings{Joachims/98a, author = {T. Joachims}, title = {Text Categorization with Support Vector Machines: Learning with Many Relevant Features}, booktitle = {European Conference on Machine Learning (ECML)}, neditor = {Claire N{\'e}dellec and C{\'e}line Rouveirol}, publisher = {Springer}, address = {Berlin}, year = 1998, pages = {137--142} } @TechReport{Joachims/98c, author = {T. Joachims}, title = {Making large-Scale SVM Learning Practical}, institution = {Universit{\"a}t Dortmund, LS VIII-Report}, year = 1998, number = 24, type = {LS8-Report} } @InCollection{Joachims/99a, author = {T. Joachims}, booktitle = {Advances in Kernel Methods - Support Vector Learning}, title = {Making large-Scale {SVM} Learning Practical}, publisher = {MIT Press}, address = {Cambridge, MA}, year = 1999, editor = {B. Sch{\"o}lkopf and C. Burges and A. Smola}, chapter = 11, pages = {169--184} } @InProceedings{Joachims/99b, author = {T. Joachims}, title = {Wissenserlangung aus grossen Datenbanken}, booktitle = {9th Int. Symposium on Intensive Care}, editor = {W.Kuckelt and K.Hankeln}, series = {Journal f. Anaesthesie und Intensivbehandlung}, year = 1999, publisher = {Pabst Science Publishers}, address = {Lengerich, Berlin, Riga, Scottsdale (Az.), Wien, Zagreb} } @InProceedings{Joachims/99c, author = {T. Joachims}, title = {Transductive Inference for Text Classification using Support Vector Machines}, booktitle = {International Conference on Machine Learning (ICML)}, address = {Bled, Slowenien}, pages = {200--209}, year = 1999 } @Article{Joachims/99d, author = {T. Joachims}, title = {Aktuelles Schlagwort: Support Vector Machines}, journal = {K\"{u}nstliche Intelligenz}, year = 1999, volume = 4 } @TechReport{Joachims/99e, author = {T. Joachims}, title = {Estimating the Generalization Performance of a {SVM} Efficiently}, institution = {Universit\"{a}t Dortmund, LS VIII}, year = 1999, number = 25, month = {December} } @InProceedings{Joachims/Hopcroft/05a, author = {T. Joachims and J. Hopcroft}, title = {Error Bounds for Correlation Clustering}, booktitle = {International Conference on Machine Learning (ICML)}, pages = "385--392", year = 2005 } @Article{Joachims/Radlinski/07a, author = {T. Joachims and F. Radlinski}, title = {Search Engines that Learn from Implicit Feedback}, journal = {IEEE Computer}, year = 2007, volume = 40, number = 8, pages = {34--40}, month = {August} } @InProceedings{Joachims/etal/01a, author = "T. Joachims and N. Cristianini and J. Shawe-Taylor", title = "Composite Kernels for Hypertext Categorisation", booktitle = "International Conference on Machine Learning (ICML)", editor = "Carla Brodley and Andrea Danyluk", address = "Williams College, {US}", year = 2001, pages = "250--257" } @InProceedings{Joachims/etal/05a, author = {T. Joachims and L. Granka and B. Pang and H. Hembrooke and G. Gay}, title = {Accurately Interpreting Clickthrough Data as Implicit Feedback}, booktitle = {ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)}, pages = {154--161}, year = 2005 } @Article{Joachims/Mladenic/98a, author = {T. Joachims and D. Mladeni\`{c}}, title = {Browsing-Assistenten, Tour Guides und adaptive WWW-Server}, journal = {K{\"u}nstliche Intelligenz}, year = 1998, pages = {23--29}, number = 28, volume = 3 } @InCollection{Joachims/etal/05b, author = {T. Joachims and T. Galor and R. Elber}, title = {Learning to Align Sequences: A Maximum-Margin Approach}, booktitle = {New Algorithms for Macromolecular Simulation}, pages = {57-68}, publisher = {Springer}, year = 2005, editor = {B. Leimkuhler et al.}, volume = 49, series = {LNCS} } @Article{Joachims/etal/07a, author = {T. Joachims and L. Granka and Bing Pan and H. Hembrooke and F. Radlinski and G. Gay}, title = {Evaluating the Accuracy of Implicit Feedback from Clicks and Query Reformulations in Web Search}, journal = {ACM Transactions on Information Systems (TOIS)}, year = 2007, volume = 25, number = 2, month = {April} } @article{Joachims/etal/95a, author = {T. Joachims and T. Mitchell and D. Freitag and R. Armstrong}, journal = {Beitr{\"a}ge zum 7. Fachgruppentreffen MASCHINELLES LERNEN der GI-Fachgruppe 1.1.3}, month = {August}, note = {Forschungsbericht Nr. 580 der Universit{\"a}t Dortmund}, pages = {145--149}, title = {{WebWatcher}: Machine Learning and Hypertext}, year = 1995 } @inproceedings{Joachims/etal/97b, author = {T. Joachims and D. Freitag and T. Mitchell}, booktitle = {International Joint Conference on Artificial Intelligence (IJCAI)}, title = {{WebWatcher:} A Tour Guide for the World Wide Web}, year = 1997, volume = 1, publisher = {Morgan Kaufmann}, pages = {770--777} } @Proceedings{Joachims/etal/99a, title = {Machine Learning for Information Filtering}, year = 1999, editor = {T. Joachims and A. McCallum and M. Sahami and M. Craven}, series = {IJCAI Workshop}, publisher = {AAAI Press}, month = {August} } @InProceedings{Klinkenberg/Joachims/00a, author = {R. Klinkenberg and T. Joachims}, title = {Detecting Concept Drift with Support Vector Machines}, booktitle = {International Conference on Machine Learning (ICML)}, pages = "487--494", publisher = {Morgan Kaufmann}, address = {San Francisco}, year = 2000 } @Article{Morik/etal/00a, author = {K. Morik and M. Imhoff and P. Brockhausen and T. Joachims and U. Gather}, title = {Knowledge Discovery and Knowledge Validation in Intensive Care}, journal = {Artificial Intelligence in Medicine}, publisher = {Elsevier}, volume = 19, number = 3, pages = {225--249}, year = 2000 } @InProceedings{Morik/etal/99a, author = {K. Morik and P. Brockhausen and T. Joachims}, title = {Combining Statistical Learning with a Knowledge-based Approach -- a Case Study in Intensive Care Monitoring}, booktitle = {International Conference on Machine Learning (ICML)}, pages = "268--277", address = {Bled, Slowenien}, year = 1999 } @InProceedings{Pohl/etal/07a, author = {S. Pohl and F. Radlinski and T. Joachims}, title = {Recommending Related Papers Based on Digital Library Access Records}, booktitle = {Joint Conference on Digital Libraries (JCDL)}, pages = {417--418}, year = 2007 } @InProceedings{Radlinski/Joachims/05a, author = {F. Radlinski and T. Joachims}, title = {Query Chains: Learning to Rank from Implicit Feedback}, booktitle = {ACM SIGKDD International Conference On Knowledge Discovery and Data Mining (KDD)}, pages = "239--248", year = 2005 } @InProceedings{Radlinski/Joachims/06a, author = {F. Radlinski and T. Joachims}, title = {Minimally Invasive Randomization for Collecting Unbiased Preferences from Clickthrough Logs}, booktitle = {Conference of the Association for the Advancement of Artificial Intelligence (AAAI)}, pages = {1406--1412}, year = 2006 } @InProceedings{Radlinski/Joachims/07a, author = {F. Radlinski and T. Joachims}, title = {Active Exploration for Learning Rankings from Clickthrough Data}, booktitle = {ACM SIGKDD International Conference On Knowledge Discovery and Data Mining (KDD)}, year = 2007 } @Proceedings{Sahami/etal/98a, title = {Learning for Text Categorization}, year = 1998, editor = {M. Sahami and M. Craven and T. Joachims and A. McCallum}, series = {ICML/AAAI Workshop}, number = {WS-98-05}, publisher = {AAAI Press}, month = {July} } @TechReport{Scheffer/Joachims/98a, author = {T. Scheffer and T. Joachims}, title = {Estimating the expected error of empirical minimizers for model selection}, institution = {TU-Berlin}, year = 1998, number = {TR-98-9}, month = {July} } @InProceedings{Scheffer/Joachims/99a, author = {T. Scheffer and T. Joachims}, title = {Expected Error Analysis for Model Selection}, booktitle = {International Conference on Machine Learning (ICML)}, pages = "361--370", address = {Bled, Slowenien}, year = 1999 } @InProceedings{Shaparenko/Joachims/07a, author = {B. Shaparenko and T. Joachims}, title = {Information Genealogy: Uncovering the Flow of Ideas in Non-Hyperlinked Document Databases}, booktitle = {ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)}, pages = {619--628}, year = 2007 } @InProceedings{Shaparenko/etal/05, author = {B. Shaparenko and R. Caruana and J. Gehrke and T. Joachims}, title = {Identifying Temporal Patterns and Key Players in Document Collections}, booktitle = {IEEE ICDM Workshop on Temporal Data Mining: Algorithms, Theory and Applications (TDM-05)}, pages = {165--174}, year = 2005 } @InProceedings{Tsochantaridis/etal/04, author = {I. Tsochantaridis and T. Hofmann and T. Joachims and Y. Altun}, title = {Support Vector Machine Learning for Interdependent and Structured Output Spaces}, booktitle = {International Conference on Machine Learning (ICML)}, pages = {104--112}, year = 2004 } @Article{Tsochantaridis/etal/05a, author = {I. Tsochantaridis and T. Joachims and T. Hofmann and Y. Altun}, title = {Large Margin Methods for Structured and Interdependent Output Variables}, journal = {Journal of Machine Learning Research (JMLR)}, year = 2005, volume = 6, pages = {1453--1484}, month = {September} } @InProceedings{Yu/etal/06, author = {Chun-Nam Yu and T. Joachims and R. Elber}, title = {Training Protein Threading Models Using Structural SVMs}, booktitle = {ICML Workshop on Learning in Structured Output Spaces}, year = 2006 } @InProceedings{Yu/etal/07a, author = {Chun-Nam Yu and T. Joachims and R. Elber and J. Pillardy}, title = {Support Vector Training of Protein Alignment Models}, booktitle = {Proceeding of the International Conference on Research in Computational Molecular Biology (RECOMB)}, pages = {253--267}, year = 2007 } @InProceedings{Yue/etal/07a, author = {Yisong Yue and T. Finley and F. Radlinski and T. Joachims}, title = {A Support Vector Method for Optimizing Average Precision}, booktitle = {ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)}, pages = {271--278}, year = 2007 } @InProceedings{Schultz/Joachims/03, title = "Learning a Distance Metric from Relative Comparisons", author = "M. Schultz and T. Joachims", publisher = "MIT Press", year = "2003", booktitle = "Advances in Neural Information Processing Systems (NeurIPS)" } @Article{Lorigo/etal/06, title = "The influence of task and gender on search and evaluation behavior using Google", author = "L. Lorigo and Bing Pan and H. Hembrooke and T. Joachims and L. Granka and G. Gay", journal = "Inf. Process. Manage", year = "2006", number = "4", volume = "42", pages = "1123 -- 1131", bibdate = "2006-01-06", bibsource = "DBLP, http://dblp.uni-trier.de/db/journals/ipm/ipm42.html#LorigoPHJGG06", URL = "http://dx.doi.org/10.1016/j.ipm.2005.10.001", } @Article{Pan/etal/07a, author = {Bing Pan and H. Hembrooke and T. Joachims and L. Lorigo and G. Gay and L. Granka}, title = {In Google We Trust: Users' Decisions on Rank, Position, and Relevance}, journal = {Journal of Computer-Mediated Communication}, year = 2007, volume = 12, number = 3, pages = {801--823} } @Misc{arxivsearch, title = {Arixv {F}ull-{T}ext {S}earch {E}ngine}, key = {arxiv full-text search}, howpublished = {{\tt http://search.arxiv.org:8081}}} @Misc{myarxiv, title = {My{A}rixv {R}ecommendation {S}ystem (in beta test)}, key = {myarxiv}, howpublished = {{\tt http://my.arxiv.org}}} @Misc{megsradio, title = {Megs{R}adio {I}nternet {R}adio {S}tation}, key = {megsradio}, howpublished = {{\tt http://megsradio.fm}}} @Misc{peergrading, title = {{O}nline {P}eergrading {S}ystem and {S}oftware}, key = {online peergrading}, howpublished = {{\tt http://peergrading.org}}}