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Thorsten Joachims Vis

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*2009
66EEThorsten Joachims, Chun-Nam John Yu: Sparse Kernel SVMs via Cutting-Plane Training. ECML/PKDD (1) 2009: 8
65EEBenyah Shaparenko, Thorsten Joachims: Identifying the Original Contribution of a Document via Language Modeling. ECML/PKDD (2) 2009: 350-365
64EEChun-Nam John Yu, Thorsten Joachims: Learning structural SVMs with latent variables. ICML 2009: 147
63EEYisong Yue, Thorsten Joachims: Interactively optimizing information retrieval systems as a dueling bandits problem. ICML 2009: 151
62EEBenyah Shaparenko, Thorsten Joachims: Identifying the original contribution of a document via language modeling. SIGIR 2009: 696-697
2008
61EEFilip Radlinski, Madhu Kurup, Thorsten Joachims: How does clickthrough data reflect retrieval quality? CIKM 2008: 43-52
60EEYisong Yue, Thorsten Joachims: Predicting diverse subsets using structural SVMs. ICML 2008: 1224-1231
59EEThomas Finley, Thorsten Joachims: Training structural SVMs when exact inference is intractable. ICML 2008: 304-311
58EEFilip Radlinski, Robert Kleinberg, Thorsten Joachims: Learning diverse rankings with multi-armed bandits. ICML 2008: 784-791
57EEChun-Nam John Yu, Thorsten Joachims: Training structural svms with kernels using sampled cuts. KDD 2008: 794-802
56EELori Lorigo, Maya Haridasan, Hrönn Brynjarsdóttir, Ling Xia, Thorsten Joachims, Geri Gay, Laura A. Granka, Fabio Pellacini, Bing Pan: Eye tracking and online search: Lessons learned and challenges ahead. JASIST 59(7): 1041-1052 (2008)
55EEChun-Nam John Yu, Thorsten Joachims, Ron Elber, Jaroslaw Pillardy: Support Vector Training of Protein Alignment Models. Journal of Computational Biology 15(7): 867-880 (2008)
54EEPaul N. Bennett, Ben Carterette, Olivier Chapelle, Thorsten Joachims: Beyond binary relevance: preferences, diversity, and set-level judgments. SIGIR Forum 42(2): 53-58 (2008)
53EEYiming Yang, Thorsten Joachims: Text categorization. Scholarpedia 3(5): 4242 (2008)
2007
52EEStefan Pohl, Filip Radlinski, Thorsten Joachims: Recommending related papers based on digital library access records. JCDL 2007: 417-418
51EEFilip Radlinski, Thorsten Joachims: Active exploration for learning rankings from clickthrough data. KDD 2007: 570-579
50EEBenyah Shaparenko, Thorsten Joachims: Information genealogy: uncovering the flow of ideas in non-hyperlinked document databases. KDD 2007: 619-628
49EEChun-Nam John Yu, Thorsten Joachims, Ron Elber, Jaroslaw Pillardy: Support Vector Training of Protein Alignment Models. RECOMB 2007: 253-267
48EEYisong Yue, Thomas Finley, Filip Radlinski, Thorsten Joachims: A support vector method for optimizing average precision. SIGIR 2007: 271-278
47EEThorsten Joachims, Laura A. Granka, Bing Pan, Helene Hembrooke, Filip Radlinski, Geri Gay: Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search. ACM Trans. Inf. Syst. 25(2): (2007)
46EEStefan Pohl, Filip Radlinski, Thorsten Joachims: Recommending Related Papers Based on Digital Library Access Records CoRR abs/0704.2902: (2007)
45EEThorsten Joachims, Filip Radlinski: Search Engines that Learn from Implicit Feedback. IEEE Computer 40(8): 34-40 (2007)
44EEThorsten Joachims, Hang Li, Tie-Yan Liu, ChengXiang Zhai: Learning to rank for information retrieval (LR4IR 2007). SIGIR Forum 41(2): 58-62 (2007)
43EECarmel Domshlak, Thorsten Joachims: Efficient and non-parametric reasoning over user preferences. User Model. User-Adapt. Interact. 17(1-2): 41-69 (2007)
2006
42 Filip Radlinski, Thorsten Joachims: Minimally Invasive Randomization fro Collecting Unbiased Preferences from Clickthrough Logs. AAAI 2006
41EEThorsten Joachims: Training linear SVMs in linear time. KDD 2006: 217-226
40EEThorsten Joachims: Structured Output Prediction with Support Vector Machines. SSPR/SPR 2006: 1-7
39EEFilip Radlinski, Thorsten Joachims: Query Chains: Learning to Rank from Implicit Feedback CoRR abs/cs/0605035: (2006)
38EEFilip Radlinski, Thorsten Joachims: Evaluating the Robustness of Learning from Implicit Feedback CoRR abs/cs/0605036: (2006)
37EEFilip Radlinski, Thorsten Joachims: Minimally Invasive Randomization for Collecting Unbiased Preferences from Clickthrough Logs CoRR abs/cs/0605037: (2006)
36EELori Lorigo, Bing Pan, Helene Hembrooke, Thorsten Joachims, Laura A. Granka, Geri Gay: The influence of task and gender on search and evaluation behavior using Google. Inf. Process. Manage. 42(4): 1123-1131 (2006)
2005
35EEThomas Finley, Thorsten Joachims: Supervised clustering with support vector machines. ICML 2005: 217-224
34EEThorsten Joachims: A support vector method for multivariate performance measures. ICML 2005: 377-384
33EEThorsten Joachims, John E. Hopcroft: Error bounds for correlation clustering. ICML 2005: 385-392
32EEFilip Radlinski, Thorsten Joachims: Query chains: learning to rank from implicit feedback. KDD 2005: 239-248
31EEThorsten Joachims, Laura A. Granka, Bing Pan, Helene Hembrooke, Geri Gay: Accurately interpreting clickthrough data as implicit feedback. SIGIR 2005: 154-161
30EECarmel Domshlak, Thorsten Joachims: Unstructuring User Preferences: Efficient Non-Parametric Utility Revelation. UAI 2005: 169-177
29EEIoannis Tsochantaridis, Thorsten Joachims, Thomas Hofmann, Yasemin Altun: Large Margin Methods for Structured and Interdependent Output Variables. Journal of Machine Learning Research 6: 1453-1484 (2005)
2004
28EEIoannis Tsochantaridis, Thomas Hofmann, Thorsten Joachims, Yasemin Altun: Support vector machine learning for interdependent and structured output spaces. ICML 2004
27EELaura A. Granka, Thorsten Joachims, Geri Gay: Eye-tracking analysis of user behavior in WWW search. SIGIR 2004: 478-479
26EERich Caruana, Thorsten Joachims, Lars Backstrom: KDD-Cup 2004: results and analysis. SIGKDD Explorations 6(2): 95-108 (2004)
2003
25 Thorsten Joachims: Transductive Learning via Spectral Graph Partitioning. ICML 2003: 290-297
24EEMatthew Schultz, Thorsten Joachims: Learning a Distance Metric from Relative Comparisons. NIPS 2003
23 Thorsten Joachims: Evaluating Retrieval Performance Using Clickthrough Data. Text Mining 2003: 79-96
22EEPaul Ginsparg, Paul Houle, Thorsten Joachims, Jae-Hoon Sul: Mapping Subsets of Scholarly Information CoRR cs.IR/0312018: (2003)
21EESusan T. Dumais, Thorsten Joachims, Krishna Bharat, Andreas S. Weigend: SIGIR 2003 workshop report: implicit measures of user interests and preferences. SIGIR Forum 37(2): 50-54 (2003)
2002
20EEThorsten Joachims: Optimizing search engines using clickthrough data. KDD 2002: 133-142
19EEPhoebe Sengers, Rainer Liesendahi, Werner Magar, Christoph Seibert, Boris Müller, Thorsten Joachims, Weidong Geng, Pia Mårtensson, Kristina Höök: The enigmatics of affect. Symposium on Designing Interactive Systems 2002: 87-98
18 Thorsten Joachims, Fabrizio Sebastiani: Guest Editors' Introduction to the Special Issue on Automated Text Categorization. J. Intell. Inf. Syst. 18(2-3): 103-105 (2002)
17 Thorsten Joachims, Edda Leopold: Text-Mining - Serviceteil. KI 16(2): 39 (2002)
2001
16 Thorsten Joachims, Nello Cristianini, John Shawe-Taylor: Composite Kernels for Hypertext Categorisation. ICML 2001: 250-257
15 Thorsten Joachims: A Statistical Learning Model of Text Classification for Support Vector Machines. SIGIR 2001: 128-136
14 Thorsten Joachims: The Maximum-Margin Approach to Learning Text Classifiers. KI 15(3): 63-65 (2001)
2000
13 Thorsten Joachims: Estimating the Generalization Performance of an SVM Efficiently. ICML 2000: 431-438
12 Ralf Klinkenberg, Thorsten Joachims: Detecting Concept Drift with Support Vector Machines. ICML 2000: 487-494
11 Katharina Morik, Michael Imhoff, Peter Brockhausen, Thorsten Joachims, Ursula Gather: Knowledge discovery and knowledge validation in intensive care. Artificial Intelligence in Medicine 19(3): 225-249 (2000)
10 Katharina Morik, Michael Imhoff, Peter Brockhausen, Thorsten Joachims, Ursula Gather: Erratum to "Knowledge discovery and knowledge validation in intensive care". Artificial Intelligence in Medicine 20(2): 179 (2000)
1999
9 Thorsten Joachims: Transductive Inference for Text Classification using Support Vector Machines. ICML 1999: 200-209
8 Katharina Morik, Peter Brockhausen, Thorsten Joachims: Combining Statistical Learning with a Knowledge-Based Approach - A Case Study in Intensive Care Monitoring. ICML 1999: 268-277
7 Tobias Scheffer, Thorsten Joachims: Expected Error Analysis for Model Selection. ICML 1999: 361-370
6 Thorsten Joachims: Support Vector Machines (Aktuelles Schlagwort). KI 13(4): 54-55 (1999)
1998
5 Tobias Scheffer, Thorsten Joachims: Estimating the Expected Error of Empirical Minimizers for Model Selection. AAAI/IAAI 1998: 1200
4EEThorsten Joachims: Text Categorization with Suport Vector Machines: Learning with Many Relevant Features. ECML 1998: 137-142
3 Thorsten Joachims, Dunja Mladenic: Browsing-Assistenten, Tour Guides und adaptive WWW-Server. KI 12(3): 23-29 (1998)
1997
2 Thorsten Joachims: A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization. ICML 1997: 143-151
1 Thorsten Joachims, Dayne Freitag, Tom M. Mitchell: Web Watcher: A Tour Guide for the World Wide Web. IJCAI (1) 1997: 770-777

Coauthor Index

1Yasemin Altun [28] [29]
2Lars Backstrom [26]
3Paul N. Bennett [54]
4Krishna Bharat [21]
5Peter Brockhausen [8] [10] [11]
6Hrönn Brynjarsdóttir [56]
7Ben Carterette [54]
8Rich Caruana [26]
9Olivier Chapelle [54]
10Nello Cristianini [16]
11Carmel Domshlak [30] [43]
12Susan T. Dumais [21]
13Ron Elber [49] [55]
14Thomas Finley [35] [48] [59]
15Dayne Freitag [1]
16Ursula Gather [10] [11]
17Geri Gay [27] [31] [36] [47] [56]
18Weidong Geng [19]
19Paul Ginsparg [22]
20Laura A. Granka [27] [31] [36] [47] [56]
21Maya Haridasan [56]
22Helene Hembrooke [31] [36] [47]
23Thomas Hofmann [28] [29]
24Kristina Höök [19]
25John E. Hopcroft [33]
26Paul Houle [22]
27Michael Imhoff [10] [11]
28Robert D. Kleinberg (Robert Kleinberg) [58]
29Ralf Klinkenberg [12]
30Madhu Kurup [61]
31Edda Leopold [17]
32Hang Li [44]
33Rainer Liesendahi [19]
34Tie-Yan Liu [44]
35Lori Lorigo [36] [56]
36Werner Magar [19]
37Pia Mårtensson [19]
38Tom M. Mitchell [1]
39Dunja Mladenic [3]
40Katharina Morik [8] [10] [11]
41Boris Müller [19]
42Bing Pan [31] [36] [47] [56]
43Fabio Pellacini [56]
44Jaroslaw Pillardy [49] [55]
45Stefan Pohl [46] [52]
46Filip Radlinski [32] [37] [38] [39] [42] [45] [46] [47] [48] [51] [52] [58] [61]
47Tobias Scheffer [5] [7]
48Matthew Schultz [24]
49Fabrizio Sebastiani [18]
50Christoph Seibert [19]
51Phoebe Sengers [19]
52Benyah Shaparenko [50] [62] [65]
53John Shawe-Taylor [16]
54Jae-Hoon Sul [22]
55Ioannis Tsochantaridis [28] [29]
56Andreas S. Weigend [21]
57Ling Xia [56]
58Yiming Yang [53]
59Chun-Nam John Yu [49] [55] [57] [64] [66]
60Yisong Yue [48] [60] [63]
61ChengXiang Zhai (Chengxiang Zhai) [44]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)