Thorsten Joachims

2008
60	EE	Filip Radlinski, Madhu Kurup, Thorsten Joachims: How does clickthrough data reflect retrieval quality? CIKM 2008: 43-52
59	EE	Yisong Yue, Thorsten Joachims: Predicting diverse subsets using structural SVMs. ICML 2008: 1224-1231
58	EE	Thomas Finley, Thorsten Joachims: Training structural SVMs when exact inference is intractable. ICML 2008: 304-311
57	EE	Filip Radlinski, Robert Kleinberg, Thorsten Joachims: Learning diverse rankings with multi-armed bandits. ICML 2008: 784-791
56	EE	Chun-Nam John Yu, Thorsten Joachims: Training structural svms with kernels using sampled cuts. KDD 2008: 794-802
55	EE	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)
54	EE	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)
53	EE	Yiming Yang, Thorsten Joachims: Text categorization. Scholarpedia 3(5): 4242 (2008)
2007
52	EE	Stefan Pohl, Filip Radlinski, Thorsten Joachims: Recommending related papers based on digital library access records. JCDL 2007: 417-418
51	EE	Filip Radlinski, Thorsten Joachims: Active exploration for learning rankings from clickthrough data. KDD 2007: 570-579
50	EE	Benyah Shaparenko, Thorsten Joachims: Information genealogy: uncovering the flow of ideas in non-hyperlinked document databases. KDD 2007: 619-628
49	EE	Chun-Nam John Yu, Thorsten Joachims, Ron Elber, Jaroslaw Pillardy: Support Vector Training of Protein Alignment Models. RECOMB 2007: 253-267
48	EE	Yisong Yue, Thomas Finley, Filip Radlinski, Thorsten Joachims: A support vector method for optimizing average precision. SIGIR 2007: 271-278
47	EE	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	EE	Stefan Pohl, Filip Radlinski, Thorsten Joachims: Recommending Related Papers Based on Digital Library Access Records CoRR abs/0704.2902: (2007)
45	EE	Thorsten Joachims, Filip Radlinski: Search Engines that Learn from Implicit Feedback. IEEE Computer 40(8): 34-40 (2007)
44	EE	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	EE	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	EE	Thorsten Joachims: Training linear SVMs in linear time. KDD 2006: 217-226
40	EE	Thorsten Joachims: Structured Output Prediction with Support Vector Machines. SSPR/SPR 2006: 1-7
39	EE	Filip Radlinski, Thorsten Joachims: Query Chains: Learning to Rank from Implicit Feedback CoRR abs/cs/0605035: (2006)
38	EE	Filip Radlinski, Thorsten Joachims: Evaluating the Robustness of Learning from Implicit Feedback CoRR abs/cs/0605036: (2006)
37	EE	Filip Radlinski, Thorsten Joachims: Minimally Invasive Randomization for Collecting Unbiased Preferences from Clickthrough Logs CoRR abs/cs/0605037: (2006)
36	EE	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	EE	Thomas Finley, Thorsten Joachims: Supervised clustering with support vector machines. ICML 2005: 217-224
34	EE	Thorsten Joachims: A support vector method for multivariate performance measures. ICML 2005: 377-384
33	EE	Thorsten Joachims, John E. Hopcroft: Error bounds for correlation clustering. ICML 2005: 385-392
32	EE	Filip Radlinski, Thorsten Joachims: Query chains: learning to rank from implicit feedback. KDD 2005: 239-248
31	EE	Thorsten Joachims, Laura A. Granka, Bing Pan, Helene Hembrooke, Geri Gay: Accurately interpreting clickthrough data as implicit feedback. SIGIR 2005: 154-161
30	EE	Carmel Domshlak, Thorsten Joachims: Unstructuring User Preferences: Efficient Non-Parametric Utility Revelation. UAI 2005: 169-177
29	EE	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	EE	Ioannis Tsochantaridis, Thomas Hofmann, Thorsten Joachims, Yasemin Altun: Support vector machine learning for interdependent and structured output spaces. ICML 2004
27	EE	Laura A. Granka, Thorsten Joachims, Geri Gay: Eye-tracking analysis of user behavior in WWW search. SIGIR 2004: 478-479
26	EE	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	EE	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	EE	Paul Ginsparg, Paul Houle, Thorsten Joachims, Jae-Hoon Sul: Mapping Subsets of Scholarly Information CoRR cs.IR/0312018: (2003)
21	EE	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	EE	Thorsten Joachims: Optimizing search engines using clickthrough data. KDD 2002: 133-142
19	EE	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	Krishna Bharat	[21]
4	Peter Brockhausen	[8] [10] [11]
5	Hrönn Brynjarsdóttir	[55]
6	Rich Caruana	[26]
7	Nello Cristianini	[16]
8	Carmel Domshlak	[30] [43]
9	Susan T. Dumais	[21]
10	Ron Elber	[49] [54]
11	Thomas Finley	[35] [48] [58]
12	Dayne Freitag	[1]
13	Ursula Gather	[10] [11]
14	Geri Gay	[27] [31] [36] [47] [55]
15	Weidong Geng	[19]
16	Paul Ginsparg	[22]
17	Laura A. Granka	[27] [31] [36] [47] [55]
18	Maya Haridasan	[55]
19	Helene Hembrooke	[31] [36] [47]
20	Thomas Hofmann	[28] [29]
21	Kristina Höök	[19]
22	John E. Hopcroft	[33]
23	Paul Houle	[22]
24	Michael Imhoff	[10] [11]
25	Robert D. Kleinberg (Robert Kleinberg)	[57]
26	Ralf Klinkenberg	[12]
27	Madhu Kurup	[60]
28	Edda Leopold	[17]
29	Hang Li	[44]
30	Rainer Liesendahi	[19]
31	Tie-Yan Liu	[44]
32	Lori Lorigo	[36] [55]
33	Werner Magar	[19]
34	Pia Mårtensson	[19]
35	Tom M. Mitchell	[1]
36	Dunja Mladenic	[3]
37	Katharina Morik	[8] [10] [11]
38	Boris Müller	[19]
39	Bing Pan	[31] [36] [47] [55]
40	Fabio Pellacini	[55]
41	Jaroslaw Pillardy	[49] [54]
42	Stefan Pohl	[46] [52]
43	Filip Radlinski	[32] [37] [38] [39] [42] [45] [46] [47] [48] [51] [52] [57] [60]
44	Tobias Scheffer	[5] [7]
45	Matthew Schultz	[24]
46	Fabrizio Sebastiani	[18]
47	Christoph Seibert	[19]
48	Phoebe Sengers	[19]
49	Benyah Shaparenko	[50]
50	John Shawe-Taylor	[16]
51	Jae-Hoon Sul	[22]
52	Ioannis Tsochantaridis	[28] [29]
53	Andreas S. Weigend	[21]
54	Ling Xia	[55]
55	Yiming Yang	[53]
56	Chun-Nam John Yu	[49] [54] [56]
57	Yisong Yue	[48] [59]
58	ChengXiang Zhai (Chengxiang Zhai)	[44]

Colors in the list of coauthors