Home Page of Thorsten Joachims

eMail: tj@cs.cornell.edu
Phone: (607)255-1372
Fax: (607)255-4428
Address: 4153 Upson Hall, Ithaca, NY 14853-7501

Office Hour: Thursdays, 3:00pm - 4:00pm

Administrative Assistant: Amy Finch

Bio

Thorsten Joachims is a Professor in the Department of Computer Science at Cornell University. He joined the department in 2001 after finishing his Ph. D. as a student of Prof. Morik at the AI-unit of the University of Dortmund, from where he also received a Diplom in Computer Science in 1997. Between 2000 and 2001 he worked as a PostDoc at the GMD in the Knowledge Discovery Team of the Institute for Autonomous Intelligent Systems. From 1994 to 1996 he spent one and a half years at Carnegie Mellon University as a visiting scholar of Prof. Tom Mitchell.  

Research Topics

        Machine Learning, Support Vector Machines, Statistical Learning Theory

        Text Classification, Text Mining, Web Mining, Information Retrieval

         Intelligent Information Systems

Projects and Research

        SVM-struct - a software package for predicting complex outputs (e.g. trees, alignments) with Support Vector Machines (access from China)

        SVM-light - a software package for Support Vector Learning (access from China)

        Dynamic Ranking - software for Dynamic Ranked Retrieval

        Spectral Graph Transducer (SGT) software for transductive learning via spectral graph partitioning

        NSF Project: Learning to Model Sequences - Playlist Prediction for Local Music Discovery

        NSF Project: Learning Structure to Structure Mappings

        NSF Project: Learning from Implicit Feedback Through Online Experimentation

        NSF Project: Information Genealogy

        NSF Project: Discriminative Methods for Learning with Dependent Outputs

        NSF Career Award: Learning Retrieval Functions from Implicit Feedback Osmot search engine

        WebWatcher  - a tour guide for the World Wide Web.

        LASER - a retrieval engine for the Web that learns

Teaching

         CS/ENGRD2110 Object-Oriented Programming and Data Structures, Spring 2012, Spring 2011.

          CS4780/5780 Machine Learning, Fall 2012.

         CS6784 Advanced Topics in Machine Learning, Spring 2010.

        CS4780 Machine Learning, Fall 2009, (Spring 2008, Spring 2007, Spring 2006, Spring 2005, Spring 2004).

         ENGRG1050 Engineering Advising Seminar, Fall 2009.

         CS472/473 Foundations of Artificial Intelligence, Fall 2007, (Fall 2005).

         CS778 Topics in Machine Learning: Learning to Predict Structured Objects, Fall 2006.

         ENGRG150 Engineering Freshman Seminar, Fall 2006, (Fall 2004).

         CS630 Representing and Accessing Digital Information, Fall 2004, (Fall 2003).

        CS574 Language Technologies, with Claire Cardie, Fall 2002.

        CS678 Advanced Topics in Machine Learning, Spring 2003, (with Rich Caruana, Spring 2002).

Ph.D. Students

        Thomas Finley

        Filip Radlinski

        Benyah Shaparenko

        Chun-Nam Yu

        Yisong Yue

Books

        T. Joachims, Learning to Classify Text using Support Vector Machines, Kluwer/Springer, 2002. [B&N] [Amazon] [Kluwer/Springer] [BibTeX]

Cornell

        Machine Learning at Cornell

        Artificial Intelligence at Cornell

        CS7790 AI Seminar

        CS7794 NLP Seminar

Editing

        International Conference on Machine Learning (ICML), Program Chair (with Johannes Fuernkranz), 2010.

        Journal of Machine Learning Research (JMLR) (action editor, 2004 - 2009).

        Machine Learning Journal (MLJ) (action editor).

        Journal of Artificial Intelligence Research (JAIR) (advisory board member).

        Data Mining and Knowledge Discovery Journal (DMKD) (action editor, 2005 - 2008).

        Special Issue on Learning to Rank for IR, Information Retrieval Journal, Hang Li, Tie-Yan Liu, Cheng Xiang Zhai, T. Joachims, Springer, 2009.

        Special Issue on Automated Text Categorization, Journal on Intelligent Information Systems, T. Joachims and F. Sebastiani, Kluwer, Vol. 2, 2002.

        Special Issue on Text-Mining, Zeitschrift Knstliche Intelligenz, Vol. 2, 2002.

        Enriching Information Retrieval, P. Bennett, K. El-Arini, T. Joachims,  K. Svore, SIGIR Workshop, 2011.

        Redundancy, Diversity, and Interdependent Document Relevance (IDR), P. Bennett, B. Carterette, T. Joachims, F. Radlinski, SIGIR Workshop, 2009.

        Beyond Binary Relevance, P. Bennett, B. Carterette, O. Chapelle, T. Joachims, SIGIR Workshop, 2008.

        Machine Learning for Web Search, D. Zhou, O. Chapelle, T. Joachims, T. Hofmann, NIPS Workshop, 2007.

        Learning to Rank for Information Retrieval, T. Joachims, Hang Li, Tie-Yan Liu, Cheng Xiang Zhai, SIGIR Workshop, 2007.

        Learning in Structured Output Spaces, U. Brefeld, T. Joachims, B. Taskar, E. Xing, ICML Workshop, 2006.

        KDD-Cup 2004 optimizing predictions for different performance measures (with R. Caruana).

        Implicit Measures of User Interests and Preferences, S. Dumais, K. Bharat, T. Joachims, A. Weigend, SIGIR Workshop, 2003.

        Beyond Classification and Regression: Learning Rankings, Preferences, Equality Predicates, and Other Structures  R. Caruana and T. Joachims, NIPS Workshop, 2002.

        Machine Learning for Information Filtering. T. Joachims and A. McCallum and M. Sahami and M. Craven (ed.), IJCAI Workshop, AAAI Press, 1999.

        Learning for Text Categorization. M. Sahami and M. Craven and T. Joachims and A. McCallum (ed.), AAAI/ICML Workshop, WS-98-05, AAAI Press, 1998.

Publications