Adaptive Information Filtering Algorithms
David J. Hand, Joost N. Kok, and Michael R. Berthold
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 paper 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.
D. R. Tauritz and I. G. Sprinkhuizen-Kuyper, "Adaptive Information Filtering Algorithms," Proceedings of the 3rd International Symposium on Intelligent Data Analysis (1999, Amsterdam, Netherlands), pp. 513-524, Springer Verlag, Jan 1999.
The definitive version is available at https://doi.org/10.1007/3-540-48412-4_43
3rd International Symposium on Intelligent Data Analysis, IDA 1999 (1999: Aug. 9-11, Amsterdam, Netherlands)
Keywords and Phrases
Adaptive Filters; Algorithms; Data Handling; Evolutionary Algorithms; Information Analysis; Text Processing, Adaptive Information Filtering; Changing Environment; Filtering Informations; Prototype System; Reuters-21578; Test Collection; Text Categorization; Tri Grams, Information Filtering
International Standard Book Number (ISBN)
International Standard Serial Number (ISSN)
Article - Conference proceedings
© 1999 Springer Verlag, All rights reserved.
01 Jan 1999