IJCAI 99 Workshop: Machine Learning for Information Filtering

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

• 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.

INVITED SPEAKERS

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

SCHEDULE

WORKING NOTES

CALL FOR PARTICIPATION

ORGANIZING COMMITTEE