Variations on language modeling for information retrieval

Wessel Kraaij

doi:10.3990/1.9789075296099

Variations on language modeling for information retrieval

Wessel Kraaij

Research output: Thesis › PhD Thesis - Research UT, graduation UT

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Abstract

Search engine technology builds on theoretical and empirical research results in the area of information retrieval (IR). This dissertation makes a contribution to the field of language modeling (LM) for IR, which views both queries and documents as instances of a unigram language model and defines the matching function between a query and each document as the probability that the query terms are generated by the document language model.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	University of Twente
Supervisors/Advisors	de Jong, F.M.G., Supervisor
Thesis sponsors	DRUID Project Netherlands Organisation for Applied Scientific Research - TNO
Award date	18 Jun 2004
Place of Publication	Enschede
Publisher	University of Twente
Print ISBNs	90-75296-09-6
DOIs	https://doi.org/10.3990/1.9789075296099
Publication status	Published - 18 Jun 2004

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PhD thesis W. KraaijFinal published version, 2.09 MB

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title = "Variations on language modeling for information retrieval",

abstract = "Search engine technology builds on theoretical and empirical research results in the area of information retrieval (IR). This dissertation makes a contribution to the field of language modeling (LM) for IR, which views both queries and documents as instances of a unigram language model and defines the matching function between a query and each document as the probability that the query terms are generated by the document language model.",

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AB - Search engine technology builds on theoretical and empirical research results in the area of information retrieval (IR). This dissertation makes a contribution to the field of language modeling (LM) for IR, which views both queries and documents as instances of a unigram language model and defines the matching function between a query and each document as the probability that the query terms are generated by the document language model.

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M3 - PhD Thesis - Research UT, graduation UT

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T3 - CTIT Ph.D. thesis series

PB - University of Twente

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Variations on language modeling for information retrieval

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