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Basic Soft Computing Methods In User Profile Modeling

Author

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  • Petya Petrova

    (University of Economics – Varna/Department of Informatics, Bulgaria)

Abstract

User profile modeling is a challenge because of the high degree of subjectivity and uncertainty of human behavior. The traditional methods used to create user profile models do not have the necessary flexibility to capture the inherent uncertainty. The purpose of this research is to present adequate methods for modeling a user profile in their role as a learner. The soft computing methods - neural networks, fuzzy logic, fuzzy clustering, neuro-fuzzy approaches and genetic algorithms – applied individually or in combination with other machine learning methods could be used for this purpose, due to the appropriate specific-ity of each one of them. The results of a research on the suitability of the basic soft computing methods for modeling a learner’s profile are presented in this paper.

Suggested Citation

  • Petya Petrova, 2019. "Basic Soft Computing Methods In User Profile Modeling," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 353-368.
    • Handle: RePEc:vrn:katinf:y:2019:i:1:p:353-368
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    File URL: http://informatics.ue-varna.bg/conference19/Conf.proceedings_Informatics-50.years%20353-368.pdf
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    More about this item

    Keywords

    Soft computing; User profile modeling; Learner profile model; Student profile model;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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