A framework for identifying the linkability between Web servers for enhanced internet computing and E-commerce

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• 作者：Hassan Artail ; Ammar El Halabi ; Ali Hachem…
• 关键词：Web server collaboration ; Session tracking ; Web mining ; Clickstream ; e ; commerce
• 刊名：Journal of Internet Services and Applications
• 出版年：2017
• 出版时间：December 2017
• 年：2017
• 卷：8
• 期：1
• 全文大小：1949KB
• 刊物类别：Computer Science
• 刊物主题：Computer Systems Organization and Communication Networks; Computer Communication Networks; Information Systems and Communication Service; IT in Business; Computer Applications; Processor Architectures
• 出版者：Springer London
• ISSN：1869-0238
• 卷排序：8

文摘

Existing Web session tracking techniques mainly work on huge web server log files, which limit their dynamicity and capability. We present a collaborative method for session tracking to identify direct and indirect web server interactions. The outcome could lead to building partnerships between organizations that do e-business, adapting links on websites to user click behavior, and deciding on the particular services offered by websites. We implemented a prototype that showed the usefulness and effectiveness of the system. We describe the significance and applications of our approach in e-commerce through information that describes traffic flows between websites.