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The Recommendation Dashboard: A System to Visualise and Organise Recommendations

conferencePaper

DOI:10.1109/iV.2015.51
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Authors: Tschinkel Gerwald / Di Sciascio Cecilia / Mutlu Belgin / Sabol Vedran

Extracted Abstract:

Recommender systems are becoming common tools sup- porting automatic, context-based retrieval of resources. When the number of retrieved resources grows large vi- sual tools are required that leverage the capacity of hu- man vision to analyse large amounts of information. We introduce a Web-based visual tool for exploring and or- ganising recommendations retrieved from multiple sources along dimensions relevant to cultural heritage and educa- tional context. Our tool provides several views support- ing filtering in the result set and integrates a bookmarking system for organising relevant resources into topic collec- tions. Building upon these features we envision a system which derives user’s interests from performed actions and uses this information to support the recommendation pro- cess. We also report on results of the performed usability evaluation and derive directions for further development. 1

Level 1: Include/Exclude

  • Papers must discuss situated information visualization* (by Willet et al.) in the application domain of CH.
    *A situated data representation is a data representation whose physical presentation is located close to the data’s physical referent(s).
    *A situated visualization is a situated data representation for which the presentation is purely visual – and is typically displayed on a screen.
  • Representation must include abstract data (e.g., metadata).
  • Papers focused solely on digital reconstruction without information visualization aspects are excluded.
  • Posters and workshop papers are excluded to focus on mature research contributions.
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