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Natural language processing for usage based indexing of web resources

Anne Boyer 1 Armelle Brun 2
1 MAIA - Autonomous intelligent machine
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
2 PAROLE - Analysis, perception and recognition of speech
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : The identification of reliable and interesting items on Internet becomes more and more difficult and time consuming. This paper is a position paper describing our intended work in the framework of multimedia information retrieval by browsing techniques within web navigation. It relies on a usage-based indexing of resources: we ignore the nature, the content and the structure of resources. We describe a new approach taking advantage of the similarity between statistical modeling of language and document retrieval systems. A syntax of usage is computed that designs a Statistical Grammar of Usage (SGU). A SGU enables resources classification to perform a personalized navigation assistant tool. It relies both on collaborative filtering to compute virtual communities of users and classical statistical language models. The resulting SGU is a community dependent SGU.
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https://hal.inria.fr/inria-00172231
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Submitted on : Friday, September 14, 2007 - 3:09:55 PM
Last modification on : Thursday, January 11, 2018 - 6:19:56 AM
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Anne Boyer, Armelle Brun. Natural language processing for usage based indexing of web resources. 29th European Conference on Information Retrieval - ECIR'07, Fondazione Ugo Bordoni; BCS-IRSG; ACM SIGIR, Apr 2007, Rome, Italy. pp.517-524, ⟨10.1007/978-3-540-71496-5_46⟩. ⟨inria-00172231⟩

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