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Beaulieu, M.M.; Gatford, M.; Huang, X.; Robertson, S.E.; Walker, S.; Williams, P.: Okapi an TREC-5 (1997) 0.02

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Year: 1997

Robertson, S.E.; Beaulieu, M.: Research and evaluation in information retrieval (1997) 0.02

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Source: Journal of documentation. 53(1997) no.1, S.51-57
Year: 1997

MacFarlane, A.; Robertson, S.E.; McCann, J.A.: Parallel computing in information retrieval : an updated review (1997) 0.02

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Source: Journal of documentation. 53(1997) no.3, S.274-315
Year: 1997

Robertson, S.E.: Overview of the Okapi projects (1997) 0.02

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Source: Journal of documentation. 53(1997) no.1, S.3-7
Year: 1997

Robertson, S.E.: ¬The probability ranking principle in IR (1977) 0.02

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Footnote: Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willet. San Francisco: Morgan Kaufmann 1997. S.281-286.

Robertson, S.E.; Walker, S.; Beaulieu, M.: Laboratory experiments with Okapi : participation in the TREC programme (1997) 0.02

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Source: Journal of documentation. 53(1997) no.1, S.20-34
Year: 1997

Huang, X.; Robertson, S.E.: Application of probilistic methods to Chinese text retrieval (1997) 0.02

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Source: Journal of documentation. 53(1997) no.1, S.74-79
Year: 1997

Robertson, S.E.; Walker, S.: Some simple effective approximations to the 2-Poisson molde for probabilisitc weighted retrieval (1979) 0.02

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Footnote: Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.345-453.

Robertson, S.E.; Sparck Jones, K.: Simple, proven approaches to text retrieval (1997) 0.02
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Abstract

This technical note describes straightforward techniques for document indexing and retrieval that have been solidly established through extensive testing and are easy to apply. They are useful for many different types of text material, are viable for very large files, and have the advantage that they do not require special skills or training for searching, but are easy for end users. The document and text retrieval methods described here have a sound theoretical basis, are well established by extensive testing, and the ideas involved are now implemented in some commercial retrieval systems. Testing in the last few years has, in particular, shown that the methods presented here work very well with full texts, not only title and abstracts, and with large files of texts containing three quarters of a million documents. These tests, the TREC Tests (see Harman 1993 - 1997; IP&M 1995), have been rigorous comparative evaluations involving many different approaches to information retrieval. These techniques depend an the use of simple terms for indexing both request and document texts; an term weighting exploiting statistical information about term occurrences; an scoring for request-document matching, using these weights, to obtain a ranked search output; and an relevance feedback to modify request weights or term sets in iterative searching. The normal implementation is via an inverted file organisation using a term list with linked document identifiers, plus counting data, and pointers to the actual texts. The user's request can be a word list, phrases, sentences or extended text.

Issue

May, 1997, Update of 1994 and 1996 versions.

Year

1997

MacFarlane, A.; Robertson, S.E.; McCann, J.A.: Parallel computing for passage retrieval (2004) 0.01

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Date: 20. 1.2007 18:30:22

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