Flickr hypergroups
Contribuinte(s) |
[Unknown] |
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Data(s) |
01/01/2009
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Resumo |
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.<br /> |
Identificador | |
Idioma(s) |
eng |
Publicador |
ACM |
Relação |
http://dro.deakin.edu.au/eserv/DU:30044563/phung-flickrhypergroups-2009.pdf http://hdl.handle.net/10.1145/1631272.1631421 |
Direitos |
2009, ACM |
Palavras-Chave | #Flickr #hypergroups #experimentation #human factors |
Tipo |
Conference Paper |