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Article
Adaptive Information Filtering: Improvement of the Matching Technique and Derivation of the Evolutionary Algorithm
Computer Science Faculty Research & Creative Works
  • Daniel R. Tauritz, Missouri University of Science and Technology
  • Ida G. Sprinkhuizen-Kuyper
Abstract

Adaptive Information Filtering is concerned with filtering information streams in changing environments. The changes may occur both on the transmission side (the nature of the streams can change) and on the reception side (the interests of a user can change). The research described in this report details the progress made in a prototype Adaptive Information Filtering system based on weighted trigram analysis and evolutionary computation. The main improvements of the algorithms employed by the system concern the computation of the distance between weighted trigram vectors and a further analysis of the two-pool evolutionary algorithm. We tested our new prototype system on the Reuters-21578 text categorization test collection.

Department(s)
Computer Science
Report Number
Technical Report 99-04
Document Type
Report - Technical
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 1999 Leiden University, All rights reserved.
Publication Date
1-1-1999
Disciplines
Citation Information
Daniel R. Tauritz and Ida G. Sprinkhuizen-Kuyper. "Adaptive Information Filtering: Improvement of the Matching Technique and Derivation of the Evolutionary Algorithm" (1999)
Available at: http://works.bepress.com/daniel-tauritz/18/