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

Alin Zamfiroiu and Cristian Ciurea ()
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Cristian Ciurea: The Bucharest University of Economic Studies

ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, 2017, vol. 51, issue 2, 181-194

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.

Keywords: Euclidean distance; model; analysis; users; behavior; online applications. (search for similar items in EconPapers)
JEL-codes: C81 C88 O35 (search for similar items in EconPapers)
Date: 2017
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