Thorsten Joachims

	2009
66		Thorsten Joachims, Chun-Nam John Yu: Sparse Kernel SVMs via Cutting-Plane Training. ECML/PKDD (1) 2009: 8
65		Benyah Shaparenko, Thorsten Joachims: Identifying the Original Contribution of a Document via Language Modeling. ECML/PKDD (2) 2009: 350-365
64		Chun-Nam John Yu, Thorsten Joachims: Learning structural SVMs with latent variables. ICML 2009: 147
63		Yisong Yue, Thorsten Joachims: Interactively optimizing information retrieval systems as a dueling bandits problem. ICML 2009: 151
62		Benyah Shaparenko, Thorsten Joachims: Identifying the original contribution of a document via language modeling. SIGIR 2009: 696-697
	2008
61		Filip Radlinski, Madhu Kurup, Thorsten Joachims: How does clickthrough data reflect retrieval quality? CIKM 2008: 43-52
60		Yisong Yue, Thorsten Joachims: Predicting diverse subsets using structural SVMs. ICML 2008: 1224-1231
59		Thomas Finley, Thorsten Joachims: Training structural SVMs when exact inference is intractable. ICML 2008: 304-311
58		Filip Radlinski, Robert Kleinberg, Thorsten Joachims: Learning diverse rankings with multi-armed bandits. ICML 2008: 784-791
57		Chun-Nam John Yu, Thorsten Joachims: Training structural svms with kernels using sampled cuts. KDD 2008: 794-802
56		Lori 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)
55		Chun-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)
54		Paul N. Bennett, Ben Carterette, Olivier Chapelle, Thorsten Joachims: Beyond binary relevance: preferences, diversity, and set-level judgments. SIGIR Forum 42(2): 53-58 (2008)
53		Yiming Yang, Thorsten Joachims: Text categorization. Scholarpedia 3(5): 4242 (2008)
	2007
52		Stefan Pohl, Filip Radlinski, Thorsten Joachims: Recommending related papers based on digital library access records. JCDL 2007: 417-418
51		Filip Radlinski, Thorsten Joachims: Active exploration for learning rankings from clickthrough data. KDD 2007: 570-579
50		Benyah Shaparenko, Thorsten Joachims: Information genealogy: uncovering the flow of ideas in non-hyperlinked document databases. KDD 2007: 619-628
49		Chun-Nam John Yu, Thorsten Joachims, Ron Elber, Jaroslaw Pillardy: Support Vector Training of Protein Alignment Models. RECOMB 2007: 253-267
48		Yisong Yue, Thomas Finley, Filip Radlinski, Thorsten Joachims: A support vector method for optimizing average precision. SIGIR 2007: 271-278
47		Thorsten 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)
46		Stefan Pohl, Filip Radlinski, Thorsten Joachims: Recommending Related Papers Based on Digital Library Access Records CoRR abs/0704.2902: (2007)
45		Thorsten Joachims, Filip Radlinski: Search Engines that Learn from Implicit Feedback. IEEE Computer 40(8): 34-40 (2007)
44		Thorsten Joachims, Hang Li, Tie-Yan Liu, ChengXiang Zhai: Learning to rank for information retrieval (LR4IR 2007). SIGIR Forum 41(2): 58-62 (2007)
43		Carmel 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
41		Thorsten Joachims: Training linear SVMs in linear time. KDD 2006: 217-226
40		Thorsten Joachims: Structured Output Prediction with Support Vector Machines. SSPR/SPR 2006: 1-7
39		Filip Radlinski, Thorsten Joachims: Query Chains: Learning to Rank from Implicit Feedback CoRR abs/cs/0605035: (2006)
38		Filip Radlinski, Thorsten Joachims: Evaluating the Robustness of Learning from Implicit Feedback CoRR abs/cs/0605036: (2006)
37		Filip Radlinski, Thorsten Joachims: Minimally Invasive Randomization for Collecting Unbiased Preferences from Clickthrough Logs CoRR abs/cs/0605037: (2006)
36		Lori 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
35		Thomas Finley, Thorsten Joachims: Supervised clustering with support vector machines. ICML 2005: 217-224
34		Thorsten Joachims: A support vector method for multivariate performance measures. ICML 2005: 377-384
33		Thorsten Joachims, John E. Hopcroft: Error bounds for correlation clustering. ICML 2005: 385-392
32		Filip Radlinski, Thorsten Joachims: Query chains: learning to rank from implicit feedback. KDD 2005: 239-248
31		Thorsten Joachims, Laura A. Granka, Bing Pan, Helene Hembrooke, Geri Gay: Accurately interpreting clickthrough data as implicit feedback. SIGIR 2005: 154-161
30		Carmel Domshlak, Thorsten Joachims: Unstructuring User Preferences: Efficient Non-Parametric Utility Revelation. UAI 2005: 169-177
29		Ioannis 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
28		Ioannis Tsochantaridis, Thomas Hofmann, Thorsten Joachims, Yasemin Altun: Support vector machine learning for interdependent and structured output spaces. ICML 2004
27		Laura A. Granka, Thorsten Joachims, Geri Gay: Eye-tracking analysis of user behavior in WWW search. SIGIR 2004: 478-479
26		Rich 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
24		Matthew 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
22		Paul Ginsparg, Paul Houle, Thorsten Joachims, Jae-Hoon Sul: Mapping Subsets of Scholarly Information CoRR cs.IR/0312018: (2003)
21		Susan 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
20		Thorsten Joachims: Optimizing search engines using clickthrough data. KDD 2002: 133-142
19		Phoebe 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
4		Thorsten 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

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

Colors in the list of coauthors