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Flickr hypergroups
conference contribution
posted on 2009-01-01, 00:00 authored by R A Negoescu, B Adams, Quoc-Dinh Phung, Svetha VenkateshSvetha Venkatesh, D Gatica-PerezThe 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.
History
Event
ACM International Conference on Multimedia (17th : 2009 : Beijing, China)Pagination
813 - 816Publisher
ACMLocation
Beijing, ChinaPlace of publication
New York, N. Y.Start date
2009-10-19End date
2009-10-24ISBN-13
9781605586083Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2009, ACMTitle of proceedings
MM'09 : Proceedings of the 17th ACM Multimedia ConferenceUsage metrics
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