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Using Semantic Relations for Representing Long-Term User Interests

Zeb, Muhammad Ali and Fasli, Maria (2011) Using Semantic Relations for Representing Long-Term User Interests. In: UNSPECIFIED, ? - ?.

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In this paper we present a new mechanism for representing the longterm 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. Although we have used the mechanism for long-term user profiling, applications can be more general. The method is evaluated against some benchmark methods and shows promising results.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: Published proceedings: Advances in Intelligent and Soft Computing
Uncontrolled Keywords: user profile; semantic relatedness; semantic similarity
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 14 Aug 2012 15:28
Last Modified: 23 Sep 2022 18:28

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