Towards an Information Retrieval Theory of Everything

Djoerd Hiemstra, J.M.W. Lammerink (Editor), Joost P. Katoen (Editor), J.N. Kok (Editor), Jan Cornelis van de Pol (Editor), F. Raamsdonk (Editor)

Research output: Contribution to journalArticleAcademic

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Abstract

I present three well-known probabilistic models of information retrieval in tutorial style: The binary independence probabilistic model, the language modeling approach, and Google's page rank. Although all three models are based on probability theory, they are very different in nature. Each model seems well-suited for solving certain information retrieval problems, but not so useful for solving others. So, essentially each model solves part of a bigger puzzle, and a unified view on these models might be a first step towards an Information Retrieval Theory of Everything.
Original languageUndefined
Pages (from-to)27-38
Number of pages12
JournalNieuwsbrief van de Nederlandse Vereniging voor Theoretische Informatica
Volume2009
Publication statusPublished - 2009

Keywords

  • IR-80540
  • EWI-15254

Cite this

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title = "Towards an Information Retrieval Theory of Everything",
abstract = "I present three well-known probabilistic models of information retrieval in tutorial style: The binary independence probabilistic model, the language modeling approach, and Google's page rank. Although all three models are based on probability theory, they are very different in nature. Each model seems well-suited for solving certain information retrieval problems, but not so useful for solving others. So, essentially each model solves part of a bigger puzzle, and a unified view on these models might be a first step towards an Information Retrieval Theory of Everything.",
keywords = "IR-80540, EWI-15254",
author = "Djoerd Hiemstra and J.M.W. Lammerink and Katoen, {Joost P.} and J.N. Kok and {van de Pol}, {Jan Cornelis} and F. Raamsdonk",
year = "2009",
language = "Undefined",
volume = "2009",
pages = "27--38",
journal = "Nieuwsbrief van de Nederlandse Vereniging voor Theoretische Informatica",

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Towards an Information Retrieval Theory of Everything. / Hiemstra, Djoerd; Lammerink, J.M.W. (Editor); Katoen, Joost P. (Editor); Kok, J.N. (Editor); van de Pol, Jan Cornelis (Editor); Raamsdonk, F. (Editor).

In: Nieuwsbrief van de Nederlandse Vereniging voor Theoretische Informatica, Vol. 2009, 2009, p. 27-38.

Research output: Contribution to journalArticleAcademic

TY - JOUR

T1 - Towards an Information Retrieval Theory of Everything

AU - Hiemstra, Djoerd

A2 - Lammerink, J.M.W.

A2 - Katoen, Joost P.

A2 - Kok, J.N.

A2 - van de Pol, Jan Cornelis

A2 - Raamsdonk, F.

PY - 2009

Y1 - 2009

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AB - I present three well-known probabilistic models of information retrieval in tutorial style: The binary independence probabilistic model, the language modeling approach, and Google's page rank. Although all three models are based on probability theory, they are very different in nature. Each model seems well-suited for solving certain information retrieval problems, but not so useful for solving others. So, essentially each model solves part of a bigger puzzle, and a unified view on these models might be a first step towards an Information Retrieval Theory of Everything.

KW - IR-80540

KW - EWI-15254

M3 - Article

VL - 2009

SP - 27

EP - 38

JO - Nieuwsbrief van de Nederlandse Vereniging voor Theoretische Informatica

JF - Nieuwsbrief van de Nederlandse Vereniging voor Theoretische Informatica

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