Treffer: Decision level data fusion for routing of documents in the TREC3 context : a best case analysis of worst case results

Title:
Decision level data fusion for routing of documents in the TREC3 context : a best case analysis of worst case results
Authors:
Source:
TREC-3: text retrieval conferenceNIST special publication. (500225):319-332
Publisher Information:
Gaithersburg, MD: National Institute of Standards and Technology, 1995.
Publication Year:
1995
Physical Description:
print, 11 ref
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
ISSN:
1048-776X
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.2485117
Database:
PASCAL Archive

Weitere Informationen

The performance of a simulated test of decision level data fusion in the routing (filtering) task of the Text Retrieval Conference is summarized and analyzed. The relatively poor results of an approach in which a specific fusion rule was selected for each retrieval task are analyzed in terms of a best possible fusion scenario based on a given scheme for quantizing the messages from the systems to be combined. The limitations of that scenario are in turn explored, and possible ways to improve upon it are outlined.