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User identity unification in e-commerce

  • Wrocław University of Science and Technology
  • Silesian University of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationAdvances in Systems Science - Proceedings of the International Conference on Systems Science, ICSS 2013
EditorsJerzy Świątek, Adam Grzech, Paweł Świątek, Jakub M. Tomczak, Jerzy Świątek
PublisherSpringer Verlag
Pages163-172
Number of pages10
ISBN (Electronic)9783319018560
DOIs
Publication statusPublished - 2014
EventInternational Conference on Systems Science, ICSS 2013 - Wroclaw, Poland
Duration: 10 Sept 201312 Sept 2013

Publication series

NameAdvances in Intelligent Systems and Computing
Volume240
ISSN (Print)2194-5357

Conference

ConferenceInternational Conference on Systems Science, ICSS 2013
Country/TerritoryPoland
CityWroclaw
Period10/09/1312/09/13

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

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