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Thorsten Joachims

Papers on DiSC'06


Accurately interpreting clickthrough data as implicit feedback

Query Chains Learning to Rank from Implicit Feedback

Publications


Note: Links lead to the DBLP on the Web.

Thorsten Joachims

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)

Thomas Finley , Thorsten Joachims: Supervised clustering with support vector machines. ICML 2005 : 217-224

Thorsten Joachims: A support vector method for multivariate performance measures. ICML 2005 : 377-384

Thorsten Joachims, John E. Hopcroft : Error bounds for correlation clustering. ICML 2005 : 385-392

Filip Radlinski , Thorsten Joachims: Query chains: learning to rank from implicit feedback. KDD 2005 : 239-248

Thorsten Joachims, Laura A. Granka , Bing Pan , Helene Hembrooke , Geri Gay : Accurately interpreting clickthrough data as implicit feedback. SIGIR 2005 : 154-161

Ioannis Tsochantaridis , Thomas Hofmann , Thorsten Joachims, Yasemin Altun : Support vector machine learning for interdependent and structured output spaces. ICML 2004

Laura A. Granka , Thorsten Joachims, Geri Gay : Eye-tracking analysis of user behavior in WWW search. SIGIR 2004 : 478-479

Rich Caruana , Thorsten Joachims, Lars Backstrom : KDD-Cup 2004: results and analysis. SIGKDD Explorations 6 (2): 95-108 (2004)

Thorsten Joachims: Transductive Learning via Spectral Graph Partitioning. ICML 2003 : 290-297

Matthew Schultz , Thorsten Joachims: Learning a Distance Metric from Relative Comparisons. NIPS 2003

Thorsten Joachims: Evaluating Retrieval Performance Using Clickthrough Data. Text Mining 2003 : 79-96

Paul Ginsparg , Paul Houle , Thorsten Joachims, Jae-Hoon Sul : Mapping Subsets of Scholarly Information CoRR cs.IR/0312018 : (2003)

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)

Thorsten Joachims: Optimizing search engines using clickthrough data. KDD 2002 : 133-142

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

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)

Thorsten Joachims, Edda Leopold : Text-Mining - Serviceteil. KI 16 (2): 39 (2002)

Thorsten Joachims, Nello Cristianini , John Shawe-Taylor : Composite Kernels for Hypertext Categorisation. ICML 2001 : 250-257

Thorsten Joachims: A Statistical Learning Model of Text Classification for Support Vector Machines. SIGIR 2001 : 128-136

Thorsten Joachims: The Maximum-Margin Approach to Learning Text Classifiers. KI 15 (3): 63-65 (2001)

Thorsten Joachims: Estimating the Generalization Performance of an SVM Efficiently. ICML 2000 : 431-438

Ralf Klinkenberg , Thorsten Joachims: Detecting Concept Drift with Support Vector Machines. ICML 2000 : 487-494

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)

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)

Thorsten Joachims: Transductive Inference for Text Classification using Support Vector Machines. ICML 1999 : 200-209

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

Tobias Scheffer , Thorsten Joachims: Expected Error Analysis for Model Selection. ICML 1999 : 361-370

Thorsten Joachims: Support Vector Machines (Aktuelles Schlagwort). KI 13 (4): 54-55 (1999)

Tobias Scheffer , Thorsten Joachims: Estimating the Expected Error of Empirical Minimizers for Model Selection. AAAI/IAAI 1998 : 1200

Thorsten Joachims: Text Categorization with Suport Vector Machines: Learning with Many Relevant Features. ECML 1998 : 137-142

Thorsten Joachims, Dunja Mladenic : Browsing-Assistenten, Tour Guides und adaptive WWW-Server. KI 12 (3): 23-29 (1998)

Thorsten Joachims: A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization. ICML 1997 : 143-151

Thorsten Joachims, Dayne Freitag , Tom M. Mitchell : Web Watcher: A Tour Guide for the World Wide Web. IJCAI (1) 1997 : 770-777

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