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 |