Authors:
Armelle Brun
and
Anne Boyer
Affiliation:
INRIA Lorraine - Université Nancy2, France
Keyword(s):
Recommender systems, collaborative filtering, analysis of usage, statistical language model, resource indexing.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Communities of Interest
;
Data Engineering
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Management
;
Ontologies and the Semantic Web
;
Personalized Web Sites and Services
;
Searching and Browsing
;
Society, e-Business and e-Government
;
User Modeling
;
Web Information Systems and Technologies
;
Web Interfaces and Applications
;
Web Personalization
Abstract:
Due to the huge amount of available information via Internet, the identification of reliable and interesting items
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 a new distance dependent trigger
model. The resulting SGU is a community dependent SGU.