Treffer: Improving a basic retrieval method by links and passage level evvidence

Title:
Improving a basic retrieval method by links and passage level evvidence
Source:
TREC-3: text retrieval conferenceNIST special publication. (500225):241-246
Publisher Information:
Gaithersburg, MD: National Institute of Standards and Technology, 1995.
Publication Year:
1995
Physical Description:
print, 9 ref
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Swiss federal inst. technology, 8092 Zürich, Switzerland
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.2485125
Database:
PASCAL Archive

Weitere Informationen

A conventional text retrieval method is improved by two additional sources of evidence of relevance : first, by a passage retrieval method that is based on Hidden Markov Models and second, by a so-called link method which was originally developped for hypertext retrieval. The results show that the two additional sources of evidence improve a conventional vector space retrieval method both in a consistent and in a complementary way. The link method has the ability to retrieve relevant documents whose description vectors are not very similar to the query description vector whereas the passage retrieval method has the ability to improve an existing ordering of the documents.