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IJCAI 99 Workshop: Machine Learning for Information Filtering


 
Schedule of the Workshop
"Machine Learning for Information Filtering"
at IJCAI 99

August 1st, 1999
Stockholm, Sweden

Workshop location: Norra Latin, room 361 (see map)


 8:30 Welcome
 8:40 Invited talk 
      Adaptive Web Sites: case study & general lessons
      Oren Etzioni
 9:40 Poster Spotlights (5 min. per poster):
      Automatically Labeling Web Pages Based on Normal User Actions 
      Jeremy Goecks and Jude Shavlik
      A Text Classifier Based on Linguistic Processing 
      Roberto Basili, Alessandro Moschitti, and Maria Teresa Pazienza
      An Unsupervised Clustering Tool for Unstructured Data 
      Daniel Boley, Vivian Borst, and Maria Gini
      Improvement of Combination Information Filtering Method Based 
      on Reliabilities 
      Yusuke Ariyoshi
      On-line Learning of User Preferences in Recommender Systems
      Joaquin Delgado and Naohiro Ishii 


10:05 Break and poster presentation


10:30 Paper Presentations (20 min. per paper):
      Error-Correcting Output Coding for Text Classification
      Adam Berger
      Information Filtering in Changing Domains
      Carsten Lanquillon
      Combining Shallow Text Processing and Machine Learning in 
      Real World Applications
      Guenther Neumann and Sven Schmeier
      Using Maximum Entropy for Text Classification
      Kamal Nigam, John Lafferty, and Andrew McCallum
      A Statistical Clustering Method to Provide a Semantic Indexing 
      of Texts
      Thierry Poibeau
12:10 Discussion

12:30 Lunch

13:50 Invited talk 
      Information Filtering on the Web
      Jan Pedersen
14:50 Paper Presentations (20 min. per paper):
      Collaborative Filtering by Personality Diagnosis: A Hybrid Memory-
      and Model-Based Approach
      David Pennock and Eric Horvitz
      Combining Content and Collaborative Filtering in Text Filtering
      Ian Soboroff and Charles Nicholas



15:30 Break and poster presentation


16:00 Paper Presentations (20 min. per paper):
      Recommending Papers by Mining the Web 
      Chumki Basu and Haym Hirsh
      EmailValet: Learning Email Preferences for Wireless Platforms
      Sofus Macskassy, Aynur Dayanik, and Haym Hirsh
16:40 Discussion and Wrap-up
Poster presentation continues


Back to the MLIF workshop home page.


Last modified July 22th, 1999 by Thorsten Joachims <thorsten@ls8.cs.uni-dortmund.de
 
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