Exploring Large Movie Collections: Comparing Visual Berrypicking and Traditional Browsing

  • Thomas LowEmail author
  • Christian Hentschel
  • Sebastian Stober
  • Harald Sack
  • Andreas Nürnberger
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10133)


We compare Visual Berrypicking, an interactive approach allowing users to explore large and highly faceted information spaces using similarity-based two-dimensional maps, with traditional browsing techniques. For large datasets, current projection methods used to generate maplike overviews suffer from increased computational costs and a loss of accuracy resulting in inconsistent visualizations. We propose to interactively align inexpensive small maps, showing local neighborhoods only, which ideally creates the impression of panning a large map. For evaluation, we designed a web-based prototype for movie exploration and compared it to the web interface of The Movie Database (TMDb) in an online user study. Results suggest that users are able to effectively explore large movie collections by hopping from one neighborhood to the next. Additionally, due to the projection of movie similarities, interesting links between movies can be found more easily, and thus, compared to browsing serendipitous discoveries are more likely.


Exploratory interfaces Media retrieval Multidimensional scaling User study 


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Thomas Low
    • 1
    Email author
  • Christian Hentschel
    • 2
  • Sebastian Stober
    • 3
  • Harald Sack
    • 4
  • Andreas Nürnberger
    • 1
  1. 1.Otto von Guericke University MagdeburgMagdeburgGermany
  2. 2.Hasso Plattner Institute for Software Systems EngineeringPotsdamGermany
  3. 3.University of PotsdamPotsdamGermany
  4. 4.FIZ KarlsruheKarlsruheGermany

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