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