Personalization and collaborative filtering for information retrieval on the web
Communications of SIWN. Special Issue on Distributed Agent-based Retrieval Tools, Volume 5, Number -, page 51--56 - august 2008
Monitoring user's behaviour, learning his interests and building his profile, is a widespread method to design personalized applications which meet better user needs. In this paper we present an approach that uses these three steps in the context of a Web search engines: analyzing the relevant actions in browsing session is possible to identify user's favorite pages and, knowing what these pages deal with, to learn user's favorite topics. An application, embedded in the Web browser, has been developed. It is able to accomplish all the tasks previously mentioned; moreover it provides a 3D interface to formulate the query and an innovative visualization, centered on user profile, of the results set.
Références BibTex
@Article{VDMP08a,
author = {Vita, E. and Deriu, M. and Marcialis, I. and Paddeu, G.},
title = {Personalization and collaborative filtering for information retrieval on the web},
journal = {Communications of SIWN. Special Issue on Distributed Agent-based Retrieval Tools},
number = {-},
volume = {5},
pages = {51--56},
month = {august},
year = {2008},
note = {idxproject: DART, NDA},
keywords = {ICT, personalization, collaborative system, feedback, information retrieval, user modeling, user profiling, search engine, semantic, information retrieval, 3D GUI},
url = {http://siwn.org.uk/press/sai/cosiwn0005.htm
}