Visualising web server logs for a Web 1.0 audience using Web 2.0 technologies: Eliciting attributes for recommendation and profiling systems

Ed De Quincey, Patty Kostkova, David Farrell

Research output: Contribution to conferencePaper

Abstract

Web server logs have been used via techniques such as user profiling and recommendation systems to improve user experience on websites. The data contained within server logs however has generally been inaccessible to nontechnical stakeholders on website development projects due to the terminology and presentation used. We describe a process that uses visualisation to enable these stakeholders to identify questions about site usage including user profiling and behaviour. The development of this tool utilising Web 2.0 technologies is described as well as feedback from the first stage of user evaluation on a real-world multi-national web development project called e-Bug. The potential for this process to elicit user attributes and behaviour that can be incorporated into automated user profiling systems is also discussed.
Original languageEnglish
Number of pages10
Publication statusPublished - 26 Jun 2009

Keywords

  • user profiling
  • visualisation
  • web 2.0 technologies
  • web server logs

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