Unsupervised Learning in Information Retrieval Using NOW Architectures View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2005

AUTHORS

E. F. Combarro , J. Ranilla , R. Mones , N. Vázquez , I. Díaz , E. Montañés

ABSTRACT

The efficiency and effectiveness of the retrieval of documents which are relevant to a certain topic or user query can be improved by means of the clustering of similar documents as well as by introducing parallel strategies. In this paper we explore the use of unsupervised learning, using clustering algorithms based on neural networks, as well as the introduction of NOW Architectures, a kind of low-cost parallel architecture, and study the impact on Information Retrieval. More... »

PAGES

179-188

Book

TITLE

Computer Aided Systems Theory – EUROCAST 2005

ISBN

978-3-540-29002-5
978-3-540-31829-3

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/11556985_23

DOI

http://dx.doi.org/10.1007/11556985_23

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1034355296


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