Thorsten Joachims

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2011
84Structured learning of two-level dynamic rankings. Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy. CIKM 2011, 291-296. Web SearchBibTeXDownload
83Contextually Guided Semantic Labeling and Search for 3D Point Clouds. Abhishek Anand, Hema Swetha Koppula, Thorsten Joachims, Ashutosh Saxena. CoRR (abs/1111.5358) (2011). Web SearchBibTeXDownload
82Labeling 3D scenes for Personal Assistant Robots. Hema Swetha Koppula, Abhishek Anand, Thorsten Joachims, Ashutosh Saxena. CoRR (abs/1106.5551) (2011). Web SearchBibTeXDownload
81Structured Learning of Two-Level Dynamic Rankings. Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy. CoRR (abs/1108.2754) (2011). Web SearchBibTeXDownload
80Online Learning with Preference Feedback. Pannagadatta K. Shivaswamy, Thorsten Joachims. CoRR (abs/1111.0712) (2011). Web SearchBibTeXDownload
79Large-Margin Learning of Submodular Summarization Methods. Ruben Sipos, Pannaga Shivaswamy, Thorsten Joachims. CoRR (abs/1110.2162) (2011). Web SearchBibTeXDownload
78The Value of User Feedback. Thorsten Joachims. ECIR 2011, 6. Web SearchBibTeXDownload
77Beat the Mean Bandit. Yisong Yue, Thorsten Joachims. ICML 2011, 241-248. Web SearchBibTeX
76Dynamic ranked retrieval. Christina Brandt, Thorsten Joachims, Yisong Yue, Jacob Bank. WSDM 2011, 247-256. Web SearchBibTeXDownload
2010
75Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes. Zhao Xu, Kristian Kersting, Thorsten Joachims. ECML/PKDD (3) 2010, 499-514. Web SearchBibTeXDownload
74Introduction to special issue on learning to rank for information retrieval. Tie-Yan Liu, Thorsten Joachims, Hang Li, Chengxiang Zhai. Inf. Retr. (13): 197-200 (2010). Web SearchBibTeXDownload
73Learning more powerful test statistics for click-based retrieval evaluation. Yisong Yue, Yue Gao, Olivier Chapelle, Ya Zhang, Thorsten Joachims. SIGIR 2010, 507-514. Web SearchBibTeXDownload
2009
72The K-armed Dueling Bandits Problem. Yisong Yue, Josef Broder, Robert Kleinberg, Thorsten Joachims. COLT 2009. Web SearchBibTeXDownload
71Predicting structured objects with support vector machines. Thorsten Joachims, Thomas Hofmann, Yisong Yue, Chun-Nam John Yu. Commun. ACM (52): 97-104 (2009). Web SearchBibTeXDownload
70Sparse Kernel SVMs via Cutting-Plane Training. Thorsten Joachims, Chun-Nam John Yu. ECML/PKDD (1) 2009, 8. Web SearchBibTeXDownload
69Identifying the Original Contribution of a Document via Language Modeling. Benyah Shaparenko, Thorsten Joachims. ECML/PKDD (2) 2009, 350-365. Web SearchBibTeXDownload
68Learning structural SVMs with latent variables. Chun-Nam John Yu, Thorsten Joachims. ICML 2009, 147. Web SearchBibTeXDownload
67Interactively optimizing information retrieval systems as a dueling bandits problem. Yisong Yue, Thorsten Joachims. ICML 2009, 151. Web SearchBibTeXDownload
66Cutting-plane training of structural SVMs. Thorsten Joachims, Thomas Finley, Chun-Nam John Yu. Machine Learning (77): 27-59 (2009). Web SearchBibTeXDownload
65Sparse kernel SVMs via cutting-plane training. Thorsten Joachims, Chun-Nam John Yu. Machine Learning (76): 179-193 (2009). Web SearchBibTeXDownload
64Identifying the original contribution of a document via language modeling. Benyah Shaparenko, Thorsten Joachims. SIGIR 2009, 696-697. Web SearchBibTeXDownload
63Redundancy, diversity and interdependent document relevance. Filip Radlinski, Paul N. Bennett, Ben Carterette, Thorsten Joachims. SIGIR Forum (43): 46-52 (2009). Web SearchBibTeXDownload
2008
62How does clickthrough data reflect retrieval quality?. Filip Radlinski, Madhu Kurup, Thorsten Joachims. CIKM 2008, 43-52. Web SearchBibTeXDownload
61Training structural SVMs when exact inference is intractable. Thomas Finley, Thorsten Joachims. ICML 2008, 304-311. Web SearchBibTeXDownload
60Learning diverse rankings with multi-armed bandits. Filip Radlinski, Robert Kleinberg, Thorsten Joachims. ICML 2008, 784-791. Web SearchBibTeXDownload
59Predicting diverse subsets using structural SVMs. Yisong Yue, Thorsten Joachims. ICML 2008, 1224-1231. Web SearchBibTeXDownload
58Eye tracking and online search: Lessons learned and challenges ahead. Lori Lorigo, Maya Haridasan, Hrönn Brynjarsdóttir, Ling Xia, Thorsten Joachims, Geri Gay, Laura A. Granka, Fabio Pellacini, Bing Pan. JASIST (59): 1041-1052 (2008). Web SearchBibTeXDownload
57Support Vector Training of Protein Alignment Models. Chun-Nam John Yu, Thorsten Joachims, Ron Elber, Jaroslaw Pillardy. Journal of Computational Biology (15): 867-880 (2008). Web SearchBibTeXDownload
56Training structural svms with kernels using sampled cuts. Chun-Nam John Yu, Thorsten Joachims. KDD 2008, 794-802. Web SearchBibTeXDownload
55Text categorization. Yiming Yang, Thorsten Joachims. Scholarpedia (3): 4242 (2008). Web SearchBibTeXDownload
54Beyond binary relevance: preferences, diversity, and set-level judgments. Paul N. Bennett, Ben Carterette, Olivier Chapelle, Thorsten Joachims. SIGIR Forum (42): 53-58 (2008). Web SearchBibTeXDownload
2007
53Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search. Thorsten Joachims, Laura A. Granka, Bing Pan, Helene Hembrooke, Filip Radlinski, Geri Gay. ACM Trans. Inf. Syst. (25) (2007). Web SearchBibTeXDownload
52Recommending Related Papers Based on Digital Library Access Records. Stefan Pohl, Filip Radlinski, Thorsten Joachims. CoRR (abs/0704.2902) (2007). Web SearchBibTeXDownload
51Search Engines that Learn from Implicit Feedback. Thorsten Joachims, Filip Radlinski. IEEE Computer (40): 34-40 (2007). Web SearchBibTeXDownload
50Recommending related papers based on digital library access records. Stefan Pohl, Filip Radlinski, Thorsten Joachims. JCDL 2007, 417-418. Web SearchBibTeXDownload
49In Google We Trust: Users' Decisions on Rank, Position, and Relevance. Bing Pan, Helene Hembrooke, Thorsten Joachims, Lori Lorigo, Geri Gay, Laura A. Granka. J. Computer-Mediated Communication (12): 801-823 (2007). Web SearchBibTeXDownload
48Information genealogy: uncovering the flow of ideas in non-hyperlinked document databases. Benyah Shaparenko, Thorsten Joachims. KDD 2007, 619-628. Web SearchBibTeXDownload
47Active exploration for learning rankings from clickthrough data. Filip Radlinski, Thorsten Joachims. KDD 2007, 570-579. Web SearchBibTeXDownload
46Support Vector Training of Protein Alignment Models. Chun-Nam John Yu, Thorsten Joachims, Ron Elber, Jaroslaw Pillardy. RECOMB 2007, 253-267. Web SearchBibTeXDownload
45A support vector method for optimizing average precision. Yisong Yue, Thomas Finley, Filip Radlinski, Thorsten Joachims. SIGIR 2007, 271-278. Web SearchBibTeXDownload
44Learning to rank for information retrieval (LR4IR 2007). Thorsten Joachims, Hang Li, Tie-Yan Liu, ChengXiang Zhai. SIGIR Forum (41): 58-62 (2007). Web SearchBibTeXDownload
43Efficient and non-parametric reasoning over user preferences. Carmel Domshlak, Thorsten Joachims. User Model. User-Adapt. Interact. (17): 41-69 (2007). Web SearchBibTeXDownload
2006
42Minimally Invasive Randomization fro Collecting Unbiased Preferences from Clickthrough Logs. Filip Radlinski, Thorsten Joachims. AAAI 2006. Web SearchBibTeX
41Minimally Invasive Randomization for Collecting Unbiased Preferences from Clickthrough Logs. Filip Radlinski, Thorsten Joachims. CoRR (abs/cs/0605037) (2006). Web SearchBibTeXDownload
40Evaluating the Robustness of Learning from Implicit Feedback. Filip Radlinski, Thorsten Joachims. CoRR (abs/cs/0605036) (2006). Web SearchBibTeXDownload
39Query Chains: Learning to Rank from Implicit Feedback. Filip Radlinski, Thorsten Joachims. CoRR (abs/cs/0605035) (2006). Web SearchBibTeXDownload
38The influence of task and gender on search and evaluation behavior using Google. Lori Lorigo, Bing Pan, Helene Hembrooke, Thorsten Joachims, Laura A. Granka, Geri Gay. Inf. Process. Manage. (42): 1123-1131 (2006). Web SearchBibTeXDownload
37Training linear SVMs in linear time. Thorsten Joachims. KDD 2006, 217-226. Web SearchBibTeXDownload
36Structured Output Prediction with Support Vector Machines. Thorsten Joachims. SSPR/SPR 2006, 1-7. Web SearchBibTeXDownload
2005
35A support vector method for multivariate performance measures. Thorsten Joachims. ICML 2005, 377-384. Web SearchBibTeXDownload
34Supervised clustering with support vector machines. Thomas Finley, Thorsten Joachims. ICML 2005, 217-224. Web SearchBibTeXDownload
33Error bounds for correlation clustering. Thorsten Joachims, John E. Hopcroft. ICML 2005, 385-392. Web SearchBibTeXDownload
32Large Margin Methods for Structured and Interdependent Output Variables. Ioannis Tsochantaridis, Thorsten Joachims, Thomas Hofmann, Yasemin Altun. Journal of Machine Learning Research (6): 1453-1484 (2005). Web SearchBibTeXDownload
31Query chains: learning to rank from implicit feedback. Filip Radlinski, Thorsten Joachims. KDD 2005, 239-248. Web SearchBibTeXDownload
30Accurately interpreting clickthrough data as implicit feedback. Thorsten Joachims, Laura A. Granka, Bing Pan, Helene Hembrooke, Geri Gay. SIGIR 2005, 154-161. Web SearchBibTeXDownload
29Unstructuring User Preferences: Efficient Non-Parametric Utility Revelation. Carmel Domshlak, Thorsten Joachims. UAI 2005, 169-177. Web SearchBibTeXDownload
2004
28Support vector machine learning for interdependent and structured output spaces. Ioannis Tsochantaridis, Thomas Hofmann, Thorsten Joachims, Yasemin Altun. ICML 2004. Web SearchBibTeXDownload
27Eye-tracking analysis of user behavior in WWW search. Laura A. Granka, Thorsten Joachims, Geri Gay. SIGIR 2004, 478-479. Web SearchBibTeXDownload
26KDD-Cup 2004: results and analysis. Rich Caruana, Thorsten Joachims, Lars Backstrom. SIGKDD Explorations (6): 95-108 (2004). Web SearchBibTeXDownload
2003
25Mapping Subsets of Scholarly Information. Paul Ginsparg, Paul Houle, Thorsten Joachims, Jae-Hoon Sul. CoRR (cs.IR/0312018) (2003). Web SearchBibTeXDownload
24Transductive Learning via Spectral Graph Partitioning. Thorsten Joachims. ICML 2003, 290-297. Web SearchBibTeX
23Learning a Distance Metric from Relative Comparisons. Matthew Schultz, Thorsten Joachims. NIPS 2003. Web SearchBibTeXDownload
22SIGIR 2003 workshop report: implicit measures of user interests and preferences. Susan T. Dumais, Thorsten Joachims, Krishna Bharat, Andreas S. Weigend. SIGIR Forum (37): 50-54 (2003). Web SearchBibTeXDownload
21Evaluating Retrieval Performance Using Clickthrough Data. Thorsten Joachims. Text Mining 2003, 79-96. Web SearchBibTeX
2002
20Guest Editors' Introduction to the Special Issue on Automated Text Categorization. Thorsten Joachims, Fabrizio Sebastiani. J. Intell. Inf. Syst. (18): 103-105 (2002). Web SearchBibTeXDownload
19Optimizing search engines using clickthrough data. Thorsten Joachims. KDD 2002, 133-142. Web SearchBibTeXDownload
18Text-Mining - Serviceteil. Thorsten Joachims, Edda Leopold. KI (16): 39 (2002). Web SearchBibTeX
17The enigmatics of affect. Phoebe Sengers, Rainer Liesendahi, Werner Magar, Christoph Seibert, Boris Müller, Thorsten Joachims, Weidong Geng, Pia Mårtensson, Kristina Höök. Symposium on Designing Interactive Systems 2002, 87-98. Web SearchBibTeXDownload
2001
16Composite Kernels for Hypertext Categorisation. Thorsten Joachims, Nello Cristianini, John Shawe-Taylor. ICML 2001, 250-257. Web SearchBibTeX
15The Maximum-Margin Approach to Learning Text Classifiers. Thorsten Joachims. KI (15): 63-65 (2001). Web SearchBibTeX
14A Statistical Learning Model of Text Classification for Support Vector Machines. Thorsten Joachims. SIGIR 2001, 128-136. Web SearchBibTeX
2000
13Erratum to "Knowledge discovery and knowledge validation in intensive care". Katharina Morik, Michael Imhoff, Peter Brockhausen, Thorsten Joachims, Ursula Gather. Artificial Intelligence in Medicine (20): 179 (2000). Web SearchBibTeXDownload
12Knowledge discovery and knowledge validation in intensive care. Katharina Morik, Michael Imhoff, Peter Brockhausen, Thorsten Joachims, Ursula Gather. Artificial Intelligence in Medicine (19): 225-249 (2000). Web SearchBibTeXDownload
11Detecting Concept Drift with Support Vector Machines. Ralf Klinkenberg, Thorsten Joachims. ICML 2000, 487-494. Web SearchBibTeX
10Estimating the Generalization Performance of an SVM Efficiently. Thorsten Joachims. ICML 2000, 431-438. Web SearchBibTeX
1999
9Combining Statistical Learning with a Knowledge-Based Approach - A Case Study in Intensive Care Monitoring. Katharina Morik, Peter Brockhausen, Thorsten Joachims. ICML 1999, 268-277. Web SearchBibTeX
8Expected Error Analysis for Model Selection. Tobias Scheffer, Thorsten Joachims. ICML 1999, 361-370. Web SearchBibTeX
7Transductive Inference for Text Classification using Support Vector Machines. Thorsten Joachims. ICML 1999, 200-209. Web SearchBibTeX
6Support Vector Machines (Aktuelles Schlagwort). Thorsten Joachims. KI (13): 54-55 (1999). Web SearchBibTeX
1998
5Estimating the Expected Error of Empirical Minimizers for Model Selection. Tobias Scheffer, Thorsten Joachims. AAAI/IAAI 1998, 1200. Web SearchBibTeX
4Text Categorization with Suport Vector Machines: Learning with Many Relevant Features. Thorsten Joachims. ECML 1998, 137-142. Web SearchBibTeXDownload
3Browsing-Assistenten, Tour Guides und adaptive WWW-Server. Thorsten Joachims, Dunja Mladenic. KI (12): 23-29 (1998). Web SearchBibTeX
1997
2A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization. Thorsten Joachims. ICML 1997, 143-151. Web SearchBibTeX
1Web Watcher: A Tour Guide for the World Wide Web. Thorsten Joachims, Dayne Freitag, Tom M. Mitchell. IJCAI (1) 1997, 770-777. Web SearchBibTeX
from DBLP and Google Scholar
References
1. ^ KDD 2008: Research Track Program Committee - Retrieved 2009-11-21 - details
2. ^ WWW2006 - Refereeed Track: Search - Retrieved 2011-03-19 - details
3. ^ KDD 2005 - draft program: Aug 21-24, Chicago, IL. USA - Retrieved 2011-06-19 - details
4. ^ KDD 2005 - organizers: Aug 21-24, Chicago, IL. USA - Retrieved 2011-06-19 - details
5. ^ CS Colloquium - Retrieved 2012-01-31 - details
6. ^ Forum for Artificial Intelligence - Retrieved 2011-04-21 - details
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