PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Flickr Hypergroups
Radu Negoescu, Brett Adams, Dinh Phung, Svetha Venkatesh and Daniel Gatica-Perez
In: Proc. ACM Int. Conf. on Multimedia (MM), 19-23 Oct. 2009, Beijing, China.

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.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Information Retrieval & Textual Information Access
ID Code:6854
Deposited By:Daniel Gatica-Perez
Deposited On:08 April 2010