Flickr hypergroups

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

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

35 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationMM'09 - Proceedings of the 2009 ACM Multimedia Conference, with Co-located Workshops and Symposiums
Pages813-816
Number of pages4
DOIs
Publication statusPublished - 28 Dec 2009
Externally publishedYes
EventACM International Conference on Multimedia 2009 - Beijing, China
Duration: 19 Oct 200922 Oct 2009
Conference number: 17th
https://dl.acm.org/doi/proceedings/10.1145/1631272

Publication series

NameMM'09 - Proceedings of the 2009 ACM Multimedia Conference, with Co-located Workshops and Symposiums

Conference

ConferenceACM International Conference on Multimedia 2009
Abbreviated titleMM 2009
CountryChina
CityBeijing
Period19/10/0922/10/09
Internet address

Keywords

  • Flickr
  • Hypergroups

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