Why we tag: motivations for annotation in mobile and online media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Towards automatic extraction of event and place semantics from flickr tags
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Flickr tag recommendation based on collective knowledge
Proceedings of the 17th international conference on World Wide Web
Personalized, interactive tag recommendation for flickr
Proceedings of the 2008 ACM conference on Recommender systems
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Visual diversification of image search results
Proceedings of the 18th international conference on World wide web
Proceedings of the 18th international conference on World wide web
Constructing folksonomies from user-specified relations on flickr
Proceedings of the 18th international conference on World wide web
Compressing tags to find interesting media groups
Proceedings of the 18th ACM conference on Information and knowledge management
Overview of the ImageCLEFphoto 2008 photographic retrieval task
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Gender-based models of location from flickr
Proceedings of the ACM multimedia 2012 workshop on Geotagging and its applications in multimedia
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Social computing sites constitute a valuable source of user-generated content for user modeling. Whereas user generated content and the mining of such content are well studied, little attention has been given in the literature to modeling the relationship between users' personal information and content. Here we analyze the relation of user gender to the choice of tags to describe a photo. A large user sample is examined to produce gender-related tagging vocabularies and tag representations. 1000 salient tags' male and female representations are compared and results indicate that there are important differences between gender based term choices in a large majority of cases. To test the influence of gender on retrieval, we built a gender sensitive image search prototype and tested it, using a survey. Results show that around two thirds of participants tend to prefer image search results obtained using tag representations of their own gender and that a third of participants have a clear preference for their own gender's results.