6533b861fe1ef96bd12c4603

RESEARCH PRODUCT

Characterizing Web sessions of e-customers interested in traditional and innovative products

Grzegorz ChodakGrażyna Suchacka

subject

customer behavioruser sessionclick-stream analysisComputer scienceWeb serverinnovative productslog file analysisWeb traffic analysisecommerce

description

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.

yearjournalcountryeditionlanguage
2016-06-03
10.7148/2016-0635http://apps.webofknowledge.com.wos.han.uni.opole.pl/Search.do?product=WOS&SID=T2XLnDNWuz9tYGfjhWY&search_mode=GeneralSearch&prID=3cd202eb-e254-4430-9197-d828a4f4e809