Categorizing Web documents using competitive learning: An ingredient of a personal adaptive agent

IEEE International Conference on Neural Networks - Conference Proceedings

Volumn 1, Issue , 1997, Pages 96-99

  Khan, I ^a   Blight, D ^a   McLeod, R D ^a   Card, H C ^a  

^a UNIVERSITY OF MANITOBA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE AGENTS; ADAPTIVE WEB; COMPETITIVE LEARNING; DOCUMENT CLUSTERING; NEW APPLICATIONS; WEB AGENTS; WEB DOCUMENT;

NEURAL NETWORKS; ENCODING (SYMBOLS); FOURIER TRANSFORMS; INFORMATION RETRIEVAL SYSTEMS; LEARNING ALGORITHMS; LEARNING SYSTEMS;

WORLD WIDE WEB; WIDE AREA NETWORKS;

COMPETITIVE LEARNING; PERSONAL ADAPTIVE AGENTS;

EID: 0030650895     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNN.1997.611644     Document Type: Conference Paper

References (6)

1. P. Maes, Agents that Reduce Work and Information Overload. In Communications of the ACM, July 1994.
2. I. Khan, A Model for Determining the Relevance of HTML Documents Visited by a Web Browsel: Technical UM/ECE Department Report 95-734-1 (www. ee. umunitoba. cd-imradtr95-734-1. html), University of Manitoba, 1995.
3. I. Khan, A Fuzzy Inference System for a Web Agent Controllel: Technical UMECE Department Report 96-765-1 (www. ee. umanitoba. cd-imrad tr96-765-l. html), University of Manitoba, 1996.
4. G. Salton, Introduction to Modern Information Retrieval. McGraw-Hill, 1982.
5. S. Haykin, Neural Networks: A Comprehensive Foundation. MacMillan, 1994.
6. C. J. Rijsbergen, Information Retrieval Second Edition. Butterworth & Company Ltd., 1979.