%Aigaion2 BibTeX export from Idiap Publications
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@INPROCEEDINGS{Negoescu_ACMMM09_2009,
         author = {Negoescu, Radu-Andrei and Adams, Brett and Phung, Dinh and Venkatesh, Svetha and Gatica-Perez, Daniel},
       keywords = {Flickr groups LDA},
       projects = {Idiap, SNSF-MULTI},
          month = {10},
          title = {Flickr Hypergroups},
      booktitle = {Proceedings of the 17th ACM International Conference on Multimedia},
           year = {2009},
       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 easy implemented as an application to enrich Flickr's traditional group search.},
            pdf = {https://publications.idiap.ch/attachments/papers/2010/Negoescu_ACMMM09_2009.pdf}
}