Natural language processing for usage based indexing of web resources

Anne Boyer (1) , Armelle Brun (2)

1 MAIA - Autonomous intelligent machine
2 PAROLE - Analysis, perception and recognition of speech

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.

Domaines: Intelligence artificielle [cs.AI]

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⟩