Flickr hypergroups
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 i...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
ACM
2009
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| Online Access: | http://doi.acm.org/10.1145/1631272.1631421 http://hdl.handle.net/20.500.11937/17077 |
| _version_ | 1848749360126361600 |
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| author | Negoescu, R. Adams, Brett Phung, Dinh Venkatesh, Svetha Gatica-Perez, D. |
| author2 | Mutsuo Sano |
| author_facet | Mutsuo Sano Negoescu, R. Adams, Brett Phung, Dinh Venkatesh, Svetha Gatica-Perez, D. |
| author_sort | Negoescu, R. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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 canbe 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. |
| first_indexed | 2025-11-14T07:19:42Z |
| format | Conference Paper |
| id | curtin-20.500.11937-17077 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:19:42Z |
| publishDate | 2009 |
| publisher | ACM |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-170772022-12-09T05:23:42Z Flickr hypergroups Negoescu, R. Adams, Brett Phung, Dinh Venkatesh, Svetha Gatica-Perez, D. Mutsuo Sano Ichiro Ide 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 canbe 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. 2009 Conference Paper http://hdl.handle.net/20.500.11937/17077 http://doi.acm.org/10.1145/1631272.1631421 ACM restricted |
| spellingShingle | Negoescu, R. Adams, Brett Phung, Dinh Venkatesh, Svetha Gatica-Perez, D. Flickr hypergroups |
| title | Flickr hypergroups |
| title_full | Flickr hypergroups |
| title_fullStr | Flickr hypergroups |
| title_full_unstemmed | Flickr hypergroups |
| title_short | Flickr hypergroups |
| title_sort | flickr hypergroups |
| url | http://doi.acm.org/10.1145/1631272.1631421 http://hdl.handle.net/20.500.11937/17077 |