• Combining the evidence of mult...

Treffer: Combining the evidence of multiple query representations for information retrieval

Title:
Combining the evidence of multiple query representations for information retrieval
Authors:
BELKIN, N. J, KANTOR, P, FOX, E. A, SHAW, J. A
Source:
TREC-2 : text retrieval conferenceInformation processing & management. 31(3):431-448
Publisher Information:
Oxford: Elsevier Science, 1995.
Publication Year:
1995
Physical Description:
print, 21 ref
Original Material:
INIST-CNRS
Subject Terms:
Information and communication sciences, Sciences de l'information communication, Documentation, Computer science, Informatique, 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, Systèmes de recherche d'information, Information retrieval systems, 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, Expérimentation, Experimentation, Experimentación, Fusion, Melting, Fusión, Inférence, Inference, Inferencia, Multiple, Múltiple, Méthode, Method, Método, Optimisation, Optimization, Optimización, Question documentaire, Query, Pregunta documental, Recherche documentaire, Document retrieval, Recuperación documental, Système documentaire, Document retrieval system, Sistema recuperación documental, Collection test, Test collection, Fusion donnée, Data fusion, TREC-2 (Text Retrieval Conference)
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Rutgers univ., School communication, information library studies, New brunswick NJ 08901-1071, United States
ISSN:
0306-4573
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=3601539
Rights:
Copyright 1995 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.3601539
Database:
PASCAL Archive

Weitere Informationen

We report on two studies in the TREC-2 program that investigated the effect on retrieval performance of combination of multiple representations of TREC topics. In one of the projects, five separate Boolean queries for each of the 50 TREC routing topics and 25 of the TREC ad hoc topics were generated by 75 experienced online searchers. Using the INQUERY retrieval system, these queries were both combined into single queries, and used to produce five separate retrieval results for each topic. In the former case, progressive combination of queries led to progressively improving retrieval performance, significantly better than that of single queries, and at least as good as the best individual single-query formulations. In the latter case, data fusion of the ranked lists also led to performance better than that of any single list. In the second project, two automatically produced vector queries and three versions of a manually produced P-norm extended Boolean query for each routing and ad hoc topic were compared and combined. This project investigated six different methods of combination of queries, and the combination of the same queries on different databases. As in the first project, progressive combination led to progressively improving results, with the best results, on average, being achieved by combination through summing of retrieval status values. Both projects found that the best method of combination often led to results that were better than the best performing single query. The combined results from the two projects have also been combined by data fusion. The results of this procedure show that combining evidence from completely different systems also leads to performance improvement.