Adaptive Information Filtering: Improvement of the Matching Technique and Derivation of the Evolutionary AlgorithmComputer Science Faculty Research & Creative Works
AbstractAdaptive 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.
Report NumberTechnical Report 99-04
Document TypeReport - Technical
Document VersionFinal Version
Rights© 1999 Leiden University, All rights reserved.
Citation InformationDaniel 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/