Unsupervised learning by probabilistic latent semantic analysis
Machine Learning
The author-topic model for authors and documents
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Group and topic discovery from relations and text
Proceedings of the 3rd international workshop on Link discovery
HT06, tagging paper, taxonomy, Flickr, academic article, to read
Proceedings of the seventeenth conference on Hypertext and hypermedia
Over-exposed?: privacy patterns and considerations in online and mobile photo sharing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Why we tag: motivations for annotation in mobile and online media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Flickr and public image-sharing: distant closeness and photo exhibition
CHI '07 Extended Abstracts on Human Factors in Computing Systems
Proceedings of the 15th international conference on Multimedia
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Flickr group recommendation based on tensor decomposition
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Kodak moments and Flickr diamonds: how users shape large-scale media
Proceedings of the international conference on Multimedia
Exploiting semantic hierarchies for Flickr group
AMT'10 Proceedings of the 6th international conference on Active media technology
Which photo groups should I choose? A comparative study of recommendation algorithms in Flickr
Journal of Information Science
Modeling social strength in social media community via kernel-based learning
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Recommending Flickr groups with social topic model
Information Retrieval
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With the increased presence of digital imaging devices there also came an explosion in the amount of multimedia content available online. Users have transformed from passive consumers of media into content creators. Flickr.com is such an example of an online community, with over 2 billion photos (and more recently, videos as well), most of which are publicly available. The user interaction with the system also provides a plethora of metadata associated with this content, and in particular tags. One very important aspect in Flickr is the ability of users to organize in self-managed communities called groups. Although users and groups are conceptually different, in practice they can be represented in the same way: a bag-of-tags, which is amenable for probabilistic topic modeling. We present a topic-based approach to represent Flickr users and groups and demonstrate it with a web application, Topickr, that allows similarity based exploration of Flickr entities using their topic-based representation, learned in an unsupervised manner.