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

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      Proceedings of the 19th Annual BCS-IRSG Colloquium on IR Research (IR)

      IR Research

      8-9 April 1997

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            Abstract

            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
            Conference
            April 1997
            April 1997
            : 1-14
            Affiliations
            [0001]Institute for Operations Research

            ETH Zentrum

            CH-8092 Zurich
            Article
            10.14236/ewic/IR1997.5
            cc56c722-4452-4499-aebc-41f2027d0634
            © Bojidar Mateev et al. Published by BCS Learning and Development Ltd. Proceedings of the 19th Annual BCS-IRSG Colloquium on IR Research, Aberdeen, Scotland

            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/

            Proceedings of the 19th Annual BCS-IRSG Colloquium on IR Research
            IR
            19
            Aberdeen, Scotland
            8-9 April 1997
            Electronic Workshops in Computing (eWiC)
            IR Research
            Product
            Product Information: 1477-9358BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

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