Treffer: The collection fusion problem

Title:
The collection fusion problem
Authors:
VOORHEES, E. M, GUPTA, N. K, JOHNSON-LAIRD, B
Source:
TREC-3: text retrieval conferenceNIST special publication. (500225):95-104
Publisher Information:
Gaithersburg, MD: National Institute of Standards and Technology, 1995.
Publication Year:
1995
Physical Description:
print, 9 ref
Original Material:
INIST-CNRS
Subject Terms:
Science technology, industry, Sciences et technologies, industries, Sciences exactes et technologie, Exact sciences and technology, Sciences et techniques communes, Sciences and techniques of general use, Sciences de l'information. Documentation, Information science. Documentation, Systèmes de recherche d'informations. Système de gestion documentaire et d'information, Information retrieval systems. Information and document management system, Sciences de l'information et de la communication, Information and communication sciences, Système de recherche documentaire. Système de gestion documentaire et d'information, Informatique documentaire, Documentation data processing, Información documental, Collection, Colección, Etude cas, Case study, Estudio caso, Fusion donnée, Data fusion, Fusión datos, Produit recherche, Search result, Resultado búsqueda, Recherche documentaire, Document retrieval, Recuperación documental, Système recherche, Search system, Sistema investigación, TREC-3
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Siemens Corporate Research, Inc., Princeton NJ, United States
ISSN:
1048-776X
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=2484606
Rights:
Copyright 1997 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Sciences of information and communication. Documentation

FRANCIS
Accession Number:
edscal.2484606
Database:
PASCAL Archive

Weitere Informationen

This paper examines the feasibility of merging the results of retrieval runs on separate, autonomous document collections into an effective combined result. In particular, we examine two collection fusion techniques that use the results of past queries to compute the number of documents to retrieve from each of a set of subcollections such that the total number of retrieved documents is equal to N, the number of documents to be returned to the user. The fusion techniques are independent of the particular weighting schemes, similarity measures, and retrieval models used by the component collections. Our official TREC-3 runs are fusion runs in which N = 1000 ; other runs investigate the effects of varying N. These results show that the precision averaged over the 50 queries is within 10% of the precision of an effective single collection run for a wide range of values of N.