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A New Scientometric Dimension for User Profile

Authors:
Nedra Ibrahim
Anja Habacha Chaibi
Henda Ben Ghézala

Keywords: user modeling; scientific quality; scientometrics; quality evaluation; user profile; profile model

Abstract:
Personalization aims to facilitate the expression of user needs and enables him/her to obtain relevant information. The data describing the user are grouped in a profile, which varies according to the application context and the type of users and their needs. By focusing on a particular type of applications (dedicated to scientific research) and a particular type of users (researchers), we note that existing personalization approaches only partially solve problems related to personalization quality (accuracy, freshness, validity period, response time, source credibility), but lacks a model involving scientific quality (content, author, container and affiliation quality). The scientific quality is assessed by a set of quantitative and qualitative measures, which are the scientometric indicators. In this paper, we propose a profile model based on scientometrics to involve the qualitative relevance of information in a retrieval system dedicated to scientific research. The proposed model will be the basis of building an ontological user profile able to store scientometric preferences.

Pages: 251 to 257

Copyright: Copyright (c) IARIA, 2016

Publication date: April 24, 2016

Published in: conference

ISSN: 2308-4138

ISBN: 978-1-61208-468-8

Location: Venice, Italy

Dates: from April 24, 2016 to April 28, 2016