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IJCAI 99 Workshop: Machine Learning for Information Filtering

Workshop on
"Machine Learning for Information Filtering"
at IJCAI 99

August 1st, 1999
Stockholm, Sweden

The enormous growth of on-line information and electronic commerce has brought about a comparable growth in research on methods for automatically organizing and personalizing information.  The "information filtering" task has simultaneously emerged as an active research topic in several disciplines, including information retrieval, human computer interaction, natural language processing, and machine learning.  The information filtering task manifests itself in many theoretically challenging and commercially important applications, such as electronic commerce and marketing, search engines, information push applications, browsing assistants, and adaptive Web sites. 

The goal of this workshop is to bring together researchers working on information filtering from many subfields of AI, while emphasizing the machine learning techniques and algorithms many of these subfields share. These techniques include 

  • text classification methods (probabilistic methods, support vector machines, first order methods, use of unlabeled data, etc.)
  • collaborative filtering methods (use of complex user and object profiles (e.g. citation structure), novel clustering models and methods, etc.)
  • other methods for learning user preferences (learning orderings, etc.) 
  • combinations of approaches and multi-strategy learning
  • representational issues (knowledge representation, NLP techniques, representing interest, representing information objects,  feature selection, term weighting, data transformation, latent semantic indexing, etc.)
  • clustering methods (similarity measures, mixture models, etc.)
  • scalability issues
  • formal models and theory
  • handling different media (text, images, sound, etc.)
  • evaluation techniques
Besides these topics, the workshop covers all theoretical and methodological issues concerning information filtering. Submissions describing innovative applications of information filtering are also encouraged. By bringing together industrial representatives with researchers, the workshop will 
  • show how problems from industry present new research issues.
  • identify ways in which research results may be put in more widespread practice in an industrial setting.


  • Prof. Oren Etzioni (Univ. of. Washington)
  • Jan Pedersen (Director, Advanced Technology, InfoSeek Corp.)


Available here.


Available here.


Available here.


 Thorsten Joachims (Chair) 
 Universitaet Dortmund 
 FB Informatik, LS8 
 Baroper Str. 301 
 44221 Dortmund, Germany 
 Phone: +49 231 755 5102 
 FAX: +49 231 755 5105 
 Andrew McCallum
 Just Research 
 4616 Henry Street 
 Pittsburgh, PA 15213 
 Phone: (412) 683-9132 
 FAX: (412) 683-4175 
 Mehran Sahami
 Epiphany, Inc. 
 2300 Geng Road 
 Palo Alto, CA 94303 
 Phone: (650) 496-2399 
 FAX: (650) 496-2431 
 Lyle Ungar
 University of Pennsylvania 
 Dept of Comp. and Info. Sci. 
 200 S. 33rd St. 
 Philadelphia, PA 19104-6389 
 Phone: (215) 898-7449 
 FAX: (215) 898-0587 

Last modified November 30th, 1998 by Thorsten Joachims <
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