Logo du site
  • English
  • Français
  • Se connecter
Logo du site
  • English
  • Français
  • Se connecter
  1. Accueil
  2. Université de Neuchâtel
  3. Projects
  4. Information Retrieval Models for Distributed Collections
 
  • Publications
Options
Vignette d'image

Information Retrieval Models for Distributed Collections

Titre du projet
Information Retrieval Models for Distributed Collections
Description
We have investigated two major issues in Distributed Information Retrieval (DIR), namely: collection selection and search results merging. While most published works on these two issues are based on pre-stored metadata, the approaches described in this paper involve extracting the required information at the time the query isprocessed. In order to predict the relevance of collections to a given query, we analyse a limited number of full documents (e.g., the top five documents) retrieved from each collection and then consider term proximity within them. On the other hand, our merging technique is rather simple since input only requires document scores and lengths of results lists. Our experiments evaluate the retrieval effectiveness of these approaches and compare them with centralised indexing and various other DIR techniques (e.g., CORI [2][3][23]).
We conducted our experiments using two testbeds: one containing news articles extracted from four different sources (2 GB) and another containing 10 GB of Web pages. Our evaluations demonstrate that the retrieval effectiveness of our simple approaches is worth considering.
Chercheur principal
Savoy, Jacques 
Stoffel, Kilian 
Statut
Completed
Date de début
1 Avril 2000
Date de fin
28 Février 2003
Chercheurs
Rasolofo, Yves
Organisations
Institut d'informatique 
Institut du management de l'information 
Identifiant interne
17342
Mots-clés
  • Information retrieval...

  • machine learning

  • distributed IR

  • digital libraries

  • uncertain reasoning

Présentation du portailGuide d'utilisationStratégie Open AccessDirective Open Access La recherche à l'UniNE Open Access ORCID

Adresse:
UniNE, Service information scientifique & bibliothèques
Rue Emile-Argand 11
2000 Neuchâtel

Construit avec Logiciel DSpace-CRIS Maintenu et optimiser par 4Sciences

  • Paramètres des témoins de connexion
  • Politique de protection de la vie privée
  • Licence de l'utilisateur final