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Treffer: Retrieval strategies for hypertext

Title:
Retrieval strategies for hypertext
Source:
Hypertext and information retrievalInformation processing & management. 29(3):313-324
Publisher Information:
Oxford: Elsevier Science, 1993.
Publication Year:
1993
Physical Description:
print, 30 ref
Original Material:
INIST-CNRS
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Univ. Massachusetts, computer sci. dep., Amherts MA 01003, United States
ISSN:
0306-4573
Rights:
Copyright 1993 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.4740946
Database:
PASCAL Archive

Weitere Informationen

The links in a hypertext database distinguish it from a typical document database used in information retrieval applications. We show how these links can be incorporated into a probabilistic retrieval model based on inference nets. Retrieval experiments using a strategy based on this model show that it produces results at least as good as a spreading activation strategy. The results also show that citations can be a better source of links for a hypertext database than nearest neighbors, even though the latter appear to connect related documents. For this test collection, the overall improvement obtained by including hypertext links in the retrieval model was low. The hypertext model may, however, have additional benefits in multimedia environments.