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Digital
Library of the European Council for Modelling and Simulation |
Title: |
Characterizing
Web Sessions Of E-Customers Interested In Traditional And Innovative Products |
Authors: |
Grazyna
Suchacka, Grzegorz Chodak |
Published in: |
(2016).ECMS 2016 Proceedings edited
by: Thorsen Claus, Frank Herrmann, Michael Manitz, Oliver Rose, European Council for Modeling and
Simulation. doi:10.7148/2016 ISBN:
978-0-9932440-2-5 30th
European Conference on Modelling and Simulation, Regensburg Germany, May 31st
– June 3rd, 2016 |
Citation
format: |
Grazyna
Suchacka, Grzegorz Chodak (2016). Characterizing Web Sessions Of E-Customers
Interested In Traditional And Innovative Products, ECMS 2016 Proceedings
edited by: Thorsten Claus, Frank Herrmann, Michael Manitz,
Oliver Rose
European Council for Modeling and Simulation. doi:10.7148/2016-0635 |
DOI: |
http://dx.doi.org/10.7148/2016-0635 |
Abstract: |
Web traffic characterization and modelling is currently a hot research issue. Low-level
analysis of HTTP traffic on the server allows one to build adequate traffic
models to be used in server benchmarking. High-level analysis of Web user
behavior allows one to optimize website structure and develop personalized
service strategies. In this paper, analysis of customer sessions in an online
store is performed using Web server log data. The goal is to explore possible
differences between sessions of customers viewing and purchasing innovative
products, and customers only interested in traditional products. |
Full
text: |