Last edited by University of Tampere
05.08.2021 | History

1 edition of Effects of query complexity, expansion and structure on retrieval performance in probabilistic text retrieval found in the catalog.

Effects of query complexity, expansion and structure on retrieval performance in probabilistic text retrieval

aspects of the North from the circumpolar nations

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      • Academic dissertation, University of Tampere, Department of Information Studies, Finland--verso t.p.Includes bibliographical references

        StatementUniversity of Tampere
        PublishersUniversity of Tampere
        Classifications
        LC Classifications1999
        The Physical Object
        Paginationxvi, 72 p. :
        Number of Pages98
        ID Numbers
        ISBN 109514445961
        Series
        1
        2Acta Universitatis Tamperensis -- 678
        3

        nodata File Size: 5MB.


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The differences in performance between complexity levels varied by different expansions, but in all, differences were minor in this respect.

CiteSeerX — The Effects Of Query Complexity, Expansion And Structure On Retrieval Performance In Probabilistic Text Retrieval

Hull D 1993 Using statistical testing in the evaluation of retrieval experiments. Second we find that good performance can be achieved when only a few sites are selected and that the performance generally increases as more sites are selected. Journal of Documentation, 57: 358-374.

Next complete phrases have to be parsed using some form of syntactic analysis. In: Croft WB, Moffat A, van Rijsbergen W, Wilkinson R and Zobel J Eds.

4 The traditional Boolean approach does not provide a relevance ranking of the retrieved documents, although modern Boolean approaches can make use of the degree of coordination, field level and degree of stemming present to rank them [Marcus 1991].

1990 indicate that thoughts about the information need become clearer and more focused as users move through the search process. For each operator with a narrowing effect, there is one or more inverse operators with a broadening effect [Marcus 1991].

Experiments performed on small collections with single-domain thesauri sug. DR-LINK system employs sophisticated, linguistic text processing techniques to capture the conceptual information in documents.

If searchers want to raise precision, then they have to narrow their queries. General Model of Information Retrieval The goal of information retrieval IR is to provide users with those documents that will satisfy their information need. The process of query modification based on user evaluation of the retrieved documents is known as relevance feedback [Lancaster and Warner 1993].

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One of the goals of the Smart Boolean approach is to make use of the structural knowledge contained in the text surrogates, where the different fields represent contexts of useful information.

Query expansion based on clustered results. Similarly, uncertainty, confusion, and frustration are nearly universal experiences in the early stages of the search process, and they decrease as the search process progresses and feelings of being confident, satisfied, sure and relieved increase.