Paper Info
Title
Natural language processing for usage based indexing of web resources
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.
Year
DOI
Venue
2007
10.1007/978-3-540-71496-5_46
ECIR
Keywords
Field
DocType
resources classification,statistical modeling,web resource,position paper,dependent sgu,natural language processing,web navigation,classical statistical language model,document retrieval system,multimedia information retrieval,statistical grammar,personalized navigation assistant tool,document retrieval,statistical model,information retrieval
Collaborative filtering,Information retrieval,Computer science,Multimedia information retrieval,Search engine indexing,Grammar,Natural language processing,Artificial intelligence,Web navigation,Document retrieval,Language model,The Internet
Conference
Volume
ISSN
Citations 
4425
0302-9743
2
PageRank 
References 
Authors
0.36
8
2
Name
Order
Citations
PageRank
Anne Boyer1195.24
Armelle Brun213821.49