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Monitoring Human Website Interactions for Online Stores

  • Tomasz ZdziebkoEmail author
  • Piotr Sulikowski
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 354)

Abstract

The convenience of online shopping is an attractive benefit for customers. At the same time, online purchase process is often complicated. As a result, some customers have difficulty with or even fail to complete the process. This article presents a tool for detailed monitoring users’ interaction with shopping websites. Data collected can be used for many purposes, including interface and content adaptation. By means of personalization, a website can automatically adapt to suit the needs of a particular user, thus vastly improving human media interaction and its efficiency. In this article the human-website interaction monitoring tool ECPM is presented and sample results based on selected B2C stores are discussed.

Keywords

human website interaction e-commerce preference modeling 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Faculty of Economics and ManagementUniversity of SzczecinSzczecinPoland
  2. 2.Faculty of Information Technology and, Computer ScienceWest Pomeranian University of TechnologySzczecinPoland

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