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Paper Recommendation System: A Global and Soft Approach

Authors:
Siwipa Pruitikanee
Lisa Di Jorio
Anne Laurent
Michel Sala

Keywords: Paper Recommendation; Soft Computing; Fuzzy Clustering; Ordered Weighted Average (OWA)

Abstract:
This Paper recommendation to researchers has been extensively studied in the last years, and many methods have been investigated for this purpose. In this paper, we propose a novel approach embedding the whole process for selecting papers of interest given some keywords. Our approach is based on a workflow integrating fuzzy clustering of the papers, the computation of a representative summary paper per cluster using Ordered Weighted Average (OWA) operators, and ranking, in order to answer user queries adequately. The originality of our method relies in the introduction of fuzziness for more flexibility in the approach. The use of representative papers allows us to summarize sets of papers into a single representative one, thus simplifying the user’s interactions with the huge number of papers from the literature.

Pages: 21 to 27

Copyright: Copyright (c) IARIA, 2012

Publication date: July 22, 2012

Published in: conference

ISSN: 2308-3735

ISBN: 978-1-61208-217-2

Location: Nice, France

Dates: from July 22, 2012 to July 27, 2012