Flickr hypergroups

  • Authors:

  • Radu-Andrei Negoescu;Brett Adams;Dinh Phung;Svetha Venkatesh;Daniel Gatica-Perez

  • Affiliations:

  • Idiap Research Institute, Martigny, Switzerland;Curtin University of Technology, Perth, Australia;Curtin University of Technology, Perth, Australia;Curtin University of Technology, Perth, Australia;Idiap Research Institute, Martigny, Switzerland

  • Venue:
  • MM '09 Proceedings of the 17th ACM international conference on Multimedia
  • Year:
  • 2009

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Abstract

The amount of multimedia content available online constantly increases, and this leads to problems for users who search for content or similar communities. Users in Flickr often self-organize in user communities through Flickr Groups. These groups are particularly interesting as they are a natural instantiation of the content~+~relations social media paradigm. We propose a novel approach to group searching through hypergroup discovery. Starting from roughly 11,000 Flickr groups' content and membership information, we create three different bag-of-word representations for groups, on which we learn probabilistic topic models. Finally, we cast the hypergroup discovery as a clustering problem that is solved via probabilistic affinity propagation. We show that hypergroups so found are generally consistent and can be described through topic-based and similarity-based measures. Our proposed solution could be relatively easily implemented as an application to enrich Flickr's traditional group search.