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By The Tests Performed, M. Boughanem, C. Julien, J. Mothe and C. Soule-dupuy

Abstract

uages and from French to other languages. Filtering - batch and routing : The profiles were learned using three different strategies : Relevance Back-propagation (RB) and Gradient Back-propagation (GB) used in the 1 previous TREC and a new strategy based on Genetic Algorithm (GA). Four runs were submitted, two batch runs based on RB+GB and two routing runs, one based on RB+GB and the other one based on GA. 2 Mercure model Mercure is an information retrieval system based on a connectionist approach and modelled by a multi-layered network. The network is composed of a query layer (set of query terms), a term layer representing the indexing terms and a document layer [3],[1]. Mercure includes the implementation of a retrieval process based on spreading activation forward and backward through the weighted links. Queries and documents can be used either as inputs or outputs. The links between two layers are symmetric and their weights are based

Publisher: Springer-Verlag
Year: 2000
OAI identifier: oai:CiteSeerX.psu:10.1.1.29.8410
Provided by: CiteSeerX
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