|
A Personalized Information Search Assistant
Maria Elena Renda
Istituto di Informatica e Telematica (IIT) Consiglio Nazionale delle Ricerche (CNR) I-56100 Pisa (PI) ITALY
Contact:
Elena.Renda_AT_iit.cnr.it
Abstract.
A common characteristic of most of the traditional search and retrieval systems is
that they are oriented towards a generic user, often failing in connecting people
with what they are really looking for. In this paper we present P I S A, a
Personalized Information Search Assistant, which, rather than relying on the
unrealistic assumption that the user will precisely specify what she is really
looking for when searching, leverages implicit information about the user’s
interests. P I S A is a desktop application which provides the user with a highly
personalized information space where she can create, manage and organize
folders (similarly to email programs), and manage documents retrieved by the
system into her folders to best fit her needs. Furthermore, P I S A offers different
mechanisms to search the Web, and the possibility of personalizing result delivery
and visualization. P I S A learns user and folder profiles from user’s choices, and
uses these profiles to improve retrieval effectiveness in searching by selecting the
relevant resources to query and filtering the results accordingly. A working
prototype has been also developed, tested and evaluated. Preliminary user
evaluation and experimental results are very promising, showing that the
personalized search environment P I S A provides considerably increases
effectiveness and user satisfaction in the searching process.
BibTex
@InProceedings{RendaWEBIST10,
author = "Renda, M. Elena",
title = "A Personalized Information Search Assistant",
booktitle = "Proc. of the 6th International Conference on Web Information Systems and Technologies (WEBIST'10)",
year = "2010",
pages = "29--39"
address = "Valencia, Spain"
}
|