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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Communication dans un congrès
29th European Conference on Information Retrieval - ECIR'07, Apr 2007, Rome, Italy. Springer Berlin / Heidelberg, 4425, pp.517-524, 2007, Lecture Notes in Computer Science. 〈10.1007/978-3-540-71496-5_46〉
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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, Apr 2007, Rome, Italy. Springer Berlin / Heidelberg, 4425, pp.517-524, 2007, Lecture Notes in Computer Science. 〈10.1007/978-3-540-71496-5_46〉. 〈inria-00172231〉

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