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A probabilistic model of information retrieval: development and comparative experiments

article published in 2000

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title

A probabilistic model of information retrieval: development and comparative experiments (English)

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main subject

information retrieval

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K. Sparck Jones

1

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S. Walker

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2

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S.E. Robertson

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3

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publication date

November 2000

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published in

Information Processing & Management

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volume

36

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page(s)

779-808

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issue

6

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cites work

USING PROBABILISTIC MODELS OF DOCUMENT RETRIEVAL WITHOUT RELEVANCE INFORMATION

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On Relevance, Probabilistic Indexing and Information Retrieval

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An algorithm for suffix stripping

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THE PROBABILITY RANKING PRINCIPLE IN IR

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Relevance weighting of search terms

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Term-weighting approaches in automatic text retrieval

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A STATISTICAL INTERPRETATION OF TERM SPECIFICITY AND ITS APPLICATION IN RETRIEVAL

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A PERFORMANCE YARDSTICK FOR TEST COLLECTIONS

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SEARCH TERM RELEVANCE WEIGHTING GIVEN LITTLE RELEVANCE INFORMATION

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A TEST FOR THE SEPARATION OF RELEVANT AND NON‐RELEVANT DOCUMENTS IN EXPERIMENTAL RETRIEVAL COLLECTIONS

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Identifiers

DOI

10.1016/S0306-4573(00)00015-7

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DBLP publication ID

journals/ipm/JonesWR00

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DBLP Dataset 2021-01-02

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28 January 2021

(Q56518273)

A probabilistic model of information retrieval: development and comparative experiments

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