Treffer: A re-unification of two competing models for document retrieval
Title:
A re-unification of two competing models for document retrieval
Authors:
Source:
Journal of the American Society for Information Science. 50(1):49-64
Publisher Information:
New York, NY: John Wiley & Sons, 1999.
Publication Year:
1999
Physical Description:
print, 39 ref
Original Material:
INIST-CNRS
Subject Terms:
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, Traitement et recherche de l'information, Information processing and retrieval, Recherche de l'information. Relation homme machine, Information retrieval. Man machine relationship, Sciences de l'information et de la communication, Information and communication sciences, Traitement et recherche d'information, Algorithme, Algorithm, Algoritmo, Apprentissage, Learning, Aprendizaje, Echelonnement multidimensionnel, Multidimensional scaling, Espace vectoriel, Vector space, Espacio vectorial, Etude comparative, Comparative study, Estudio comparativo, Modèle, Models, Modelo, Pondération, Weighting, Ponderación, Recherche documentaire, Document retrieval, Recuperación documental, Recherche information, Information retrieval, Recuperación información, Rétroaction, Feedback regulation, Retroacción, Unification, Unificación, Heuristique, Orienté document, Document oriented, Orienté question, Question oriented, Recherche probabiliste
Document Type:
Fachzeitschrift
Article
File Description:
text
Language:
English
Author Affiliations:
Information Systems Department, Stern School of Business, Management Education Center, New York University, 44 West Fourth Street, Room 9-181, New York, NY 10012-1126, United States
ISSN:
0002-8231
Rights:
Copyright 1999 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
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
FRANCIS
Accession Number:
edscal.1748214
Database:
PASCAL Archive
Weitere Informationen
Two competing approaches for document retrieval were first identified by Robertson, Maron, & Cooper (1982) for probabilistic retrieval. The difficulty of unifying those approaches was introduced as a problem of resolving query-focused with document-focused retrieval, and an approach towards unification was offered. That approach rests on a re-conceptualization of the meaning of term weight estimates. In this work, we propose a new unified model. The unification problem is re-framed as resulting from a lack of theory regarding the relationship of two sorts of data, absolute and relative. This new unified model is valid even for traditional interpretations of term estimates.