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Using Semantic Relations for Representing Long-Term User Interests

  • Conference paper
Third International Conference on Software, Services and Semantic Technologies S3T 2011

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 101))

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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. 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.

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Author information

Authors and Affiliations

  1. School of Computer Science and Electronic Engineering, University of Essex Colchester, United Kingdom

    Muhammad Ali Zeb & Maria Fasli

Authors
  1. Muhammad Ali Zeb
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  2. Maria Fasli
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Winston-Salem State University, 3206 E.J. Jones Computer Science Bldg 601 S. Martin Luther King Jr. Drive, 27110, Winston Salem, NC, USA

    Darina Dicheva

  2. Central Connecticut State University, 1615 Stanley Street, 06050, New Britain, CT, USA

    Zdravko Markov

  3. Faculty of Mathematics and Informatics, Sofia University St. Kl. Ohridski, 5, James Bourchier Blvd., 1164, Sofia, Bulgaria

    Eliza Stefanova

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© 2011 Springer-Verlag Berlin Heidelberg

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Zeb, M.A., Fasli, M. (2011). Using Semantic Relations for Representing Long-Term User Interests. In: Dicheva, D., Markov, Z., Stefanova, E. (eds) Third International Conference on Software, Services and Semantic Technologies S3T 2011. Advances in Intelligent and Soft Computing, vol 101. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23163-6_5

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  • DOI: https://doi.org/10.1007/978-3-642-23163-6_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23162-9

  • Online ISBN: 978-3-642-23163-6

  • eBook Packages: EngineeringEngineering (R0)

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