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A Model for Users' Profile Recognition based on their Behavior in Online Applications

Author

Listed:
  • Alin ZAMFIROIU

    (The Bucharest University of Economic Studies The National Institute for Research & Development in Informatics)

  • Cristian CIUREA

    (The Bucharest University of Economic Studies)

Abstract

In this article we propose a users' recognition model in online applications based on their behavior characteristics. For establishing the user profile recognition, there are defined the behavior characteristics in the case of online applications and these characteristics will be followed within some testing applications. Based on the identified characteristics, there are performed measurements for each user. The measurements are saved in a database and by calculation of an average, a profile is achieved. In the case of future user’ authentications in the application it is compared the behavior measured in the current session with the profile saved in the database. The purpose of this paper is to determine patterns of user behavior analysis and to compare the current behavior with the profile from the database using the Euclidean distance calculation formula.

Suggested Citation

  • Alin ZAMFIROIU & Cristian CIUREA, 2017. "A Model for Users' Profile Recognition based on their Behavior in Online Applications," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 51(2), pages 181-194.
    • Handle: RePEc:cys:ecocyb:v:50:y:2017:i:2:p:181-194
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    References listed on IDEAS

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    1. Guo, Qiang & Ji, Lei & Liu, Jian-Guo & Han, Jingti, 2017. "Evolution properties of online user preference diversity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 698-713.
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    More about this item

    Keywords

    Euclidean distance; model; analysis; users; behavior; online applications.;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • O35 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Social Innovation

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