Where the Linked Dependence Assumption Fails and How to Move Beyond It.

The linked dependence assumption, a widely used simplification in probabilistic retrieval, is briey reviewed and its validity is investigated. We show that the linked dependence assumption is violated particularly if the query features are good discriminators between relevant and non-relevant documents. We then propose the manual concept generation method, which takes into account the dependence between different query concepts. For a limited set of routing queries, experiments show a significant improvement when compared with retrieval methods which do not take into account feature dependencies. We consider this method to be the first successful step which progresses beyond the linked dependence assumption.

Content

Author and article information

Contributors

Bojidar Mateev

Elke Mittendorf

Peter Schäuble

Conference

Publication date: April 1997

Publication date (Print): April 1997

Pages: 1-14

Affiliations

[0001]Institute for Operations Research

ETH Zentrum

CH-8092 Zurich

Article

DOI: 10.14236/ewic/IR1997.5

SO-VID: cc56c722-4452-4499-aebc-41f2027d0634

Copyright statement: © Bojidar Mateev et al. Published by BCS Learning and Development Ltd. Proceedings of the 19th Annual BCS-IRSG Colloquium on IR Research, Aberdeen, Scotland

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Proceedings of the 19th Annual BCS-IRSG Colloquium on IR Research

Conference acronym: IR

Conference number: 19

Conference location: Aberdeen, Scotland

Conference date: 8-9 April 1997

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: IR Research

Product

Product Information: 1477-9358BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/IR1997.5

Self URI (journal page): https://ewic.bcs.org/

Where the Linked Dependence Assumption Fails and How to Move Beyond It.

Abstract