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Please use this identifier to cite or link to this item: http://hdl.handle.net/10506/697

Title: Using Semantic Relations for Representing Long-Term User Interests
Authors: Zeb, Muhammad Ali
Fasli Maria
Keywords: user profile
semantic relatedness
semantic similarity
Issue Date: 2011
Publisher: Springer-Verlag Berlin Heidelberg 2011
Citation: Zeb, Muhammad Ali, Fasli Maria (2011), Using Semantic Relations for Representing Long-Term User Interests, Advances in Intelligent and Soft Computing, 2011, Volume 101, Third International Conference on Software, Services and Semantic Technologies S3T 2011, September 1-3, 2011, Bourgas, Bulgaria, ISBN 978-3-642-23162-9, pp. 33-40
Abstract: In this paper we present a new mechanism for representing the long-term interests of a user in a user profile. Semantic relatedness between the profile terms is measured by using the web counting based method. Profile terms are associated through their sets of inductions words, representing highly related words to the terms that are found out through their co-occurrence in the web documents and semantic similarity. The relation between the two profile terms is then calculated using the combination of their corresponding sets of induction words. The method is evaluated against some benchmark methods and shows promising results.
URI: http://hdl.handle.net/10506/697
ISBN: 978-3-642-23162-9
ISSN: 1867-5662
Appears in Collections:S3T 2011

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