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Efficient passage ranking for document databases

Editor: W. Bruce Croft Authors:

Marcin Kaszkiel,

Ron Sacks-DavisAuthors Info & Claims

ACM Transactions on Information Systems (TOIS), Volume 17, Issue 4

Pages 406 - 439

https://doi.org/10.1145/326440.326445

Published: 01 October 1999 Publication History

Abstract

Queries to text collections are resolved by ranking the documents in the collection and returning the highest-scoring documents to the user. An alternative retrieval method is to rank passages, that is, short fragments of documents, a strategy that can improve effectiveness and identify relevant material in documents that are too large for users to consider as a whole. However, ranking of passages can considerably increase retrieval costs. In this article we explore alternative query evaluation techniques, and develop new tecnhiques for evaluating queries on passages. We show experimentally that, appropriately implemented, effective passage retrieval is practical in limited memory on a desktop machine. Compared to passage ranking with adaptations of current document ranking algorithms, our new “DO-TOS” passage-ranking algorithm requires only a fraction of the resources, at the cost of a small loss of effectiveness.

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Efficient passage ranking for document databases

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cover image ACM Transactions on Information Systems

ACM Transactions on Information Systems Volume 17, Issue 4

Oct. 1999

123 pages

ISSN:1046-8188

EISSN:1558-2868

DOI:10.1145/326440

Editor:
W. Bruce Croft
Univ. of Massachusetts, Amherst

Issue’s Table of Contents

Copyright © 1999 ACM.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 October 1999

Published in TOIS Volume 17, Issue 4

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Albarede LMulhem PGoeuriot LMarié SLe Pape-Gardeux CChardin-Segui T(2023)Heterogeneous graph attention networks for passage retrievalInformation Retrieval10.1007/s10791-023-09424-326:1-2Online publication date: 16-Nov-2023
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