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|Title: ||Using Semantic Relations for Representing Long-Term User Interests|
|Authors: ||Zeb, Muhammad Ali|
|Keywords: ||user profile|
|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.|
|Appears in Collections:||S3T 2011|
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