Improving Product Browsing whilst Engaging Users

Research output: Contribution to conferencePaperpeer-review


We describe a new browsing system that improves online navigation of large numbers of objects which are otherwise difficult to label or split into categories. We use a two-stage process to obtain human similarity information which forms the core of the system and is used to create a resizable self-organizing map. This comprises a matrix of image stacks that provides a fast, intuitive and highly visual navigation environment. It can be easily implemented in sites, blogs and newsletters. We report the methods used to obtain the similarity data and derive the navigation system, and illustrate this with an example taken from the domain of abstract art.
Original languageEnglish
Number of pages3
Publication statusPublished - 2011
EventDigital Engagement 2011 - Newcastle, United Kingdom
Duration: 15 Nov 201117 Nov 2011


ConferenceDigital Engagement 2011
Abbreviated titleDE2011
Country/TerritoryUnited Kingdom


  • Navigation
  • categorization
  • Engagement
  • Interactive
  • Presentation
  • Web
  • Tool integration
  • visualization
  • Gamification


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