ecms_neu_mini.png

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: