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

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