Print Email Facebook Twitter A language modeling approach to the Text Retrieval Conference Title A language modeling approach to the Text Retrieval Conference Author TNO Informatie- en Communicatietechnologie Hiemstra, D. Kraaij, W. Contributor Voorhees, E.M. (editor) Harman, D. (editor) Publication year 2005 Abstract In this paper we present the language modeling approach to information retrieval as a toolbox to systematically combine information from different sources. Four TREC subtasks (Ad Hoc, Entry Page, Adaptive Filtering and Cross-language) are used to illustrate the application of language models to different information retrieval problems.In deze bijdrage wordt beschreven hoe taalmodelleren kan helpen Information Retrieval te gebruiken voor het systematisch combineren van informatie uit verschillende bronnen. Vier subtaken van TREC (Ad Hoc, Entry Page, Adaptive Filtering en Cross-language) worden gebruikt om de toepassing te demonstreren van taalmodellen voor verschillende problemen van Information Retrieval. Subject Entry page searchLanguage modelsLinksParameter estimationPrior probabilitiesURLsAlgorithmsComputer simulationInformation retrieval systemsOptimizationParameter estimationQuery languagesSearch enginesStatistical methodsWebsitesEntry page searchLanguage modelUnified resource languageOnline searching To reference this document use: http://resolver.tudelft.nl/uuid:e7c11fec-41f2-4ceb-9461-461844f063e8 TNO identifier 479981 Publisher MIT Press Source TREC : Experimentation and Evaluation in Information Retrieval Bibliographical note 21 language models @ TREC Document type bookPart Files PDF hiemstra-2005-language.pdf