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User Identity Unification in e-Commerce

  • Conference paper
Advances in Systems Science

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 240))

Abstract

Data mining applied to social media is gaining popularity. It is worth noticing that most e-commerce services also cause the formation of small communities not only services oriented toward socializing people. The results of their analysis are easier to implement. Besides, we can expect a better perception of the business by its own users, therefore the analysis of their behavior is justified. In the paper we introduce an algorithm which identifies particular customers among not logged or not registered users of a given e-commerce service. The identification of a customer is based on data that was given so as to accomplish selling procedure. Customers rarely use exactly the same identification data each time. In consequence, it is possible to check if customers create a group of unrelated individuals or if there are symptoms of social behavior.

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Author information

Authors and Affiliations

  1. Institute of Computer Science, Wroclaw University of Technology, Wybrzeże Wyspiańskiego 27, 50-370, Wrocław, Poland

    Marcin Gorawski

  2. Institute of Computer Science, Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland

    Marcin Gorawski, Aleksander Chrószcz & Anna Gorawska

Authors
  1. Marcin Gorawski
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  2. Aleksander Chrószcz
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  3. Anna Gorawska
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Corresponding author

Correspondence to Marcin Gorawski .

Editor information

Editors and Affiliations

  1. Institute of Informatics, Wroclaw University of Technology, Wrocław, Poland

    Jerzy Swiątek

  2. Institute of Informatics, Wroclaw University of Technology, Wrocław, Poland

    Adam Grzech

  3. Institute of Informatics, Wroclaw University of Technology, Wrocław, Poland

    Paweł Swiątek

  4. Institute of Informatics, Wroclaw University of Technology, Wrocław, Poland

    Jakub M. Tomczak

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Gorawski, M., Chrószcz, A., Gorawska, A. (2014). User Identity Unification in e-Commerce. In: Swiątek, J., Grzech, A., Swiątek, P., Tomczak, J. (eds) Advances in Systems Science. Advances in Intelligent Systems and Computing, vol 240. Springer, Cham. https://doi.org/10.1007/978-3-319-01857-7_16

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  • DOI: https://doi.org/10.1007/978-3-319-01857-7_16

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-01856-0

  • Online ISBN: 978-3-319-01857-7

  • eBook Packages: EngineeringEngineering (R0)

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