Collaborative filtering with privacy via factor analysis
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
The Journal of Machine Learning Research
An automatic weighting scheme for collaborative filtering
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Fast maximum margin matrix factorization for collaborative prediction
ICML '05 Proceedings of the 22nd international conference on Machine learning
Give and take: a study of consumer photo-sharing culture and practice
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Measurement and analysis of online social networks
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
What drives content tagging: the case of photos on Flickr
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Growth of the flickr social network
Proceedings of the first workshop on Online social networks
Modeling and predicting group activity over time in online social media
Proceedings of the 20th ACM conference on Hypertext and hypermedia
Predicting response to political blog posts with topic models
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Personalized recommendation of social software items based on social relations
Proceedings of the third ACM conference on Recommender systems
fLDA: matrix factorization through latent dirichlet allocation
Proceedings of the third ACM international conference on Web search and data mining
Towards automated georeferencing of Flickr photos
Proceedings of the 6th Workshop on Geographic Information Retrieval
Use of social network information to enhance collaborative filtering performance
Expert Systems with Applications: An International Journal
A comparative study of Flickr tags and index terms in a general image collection
Journal of the American Society for Information Science and Technology
Mixed-Membership Stochastic Block-Models for Transactional Networks
ICDM '10 Proceedings of the 2010 IEEE International Conference on Data Mining
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The last few years have seen an exponential increase in the amount of multimedia content that is available online thanks to collaborative-online communities such as Flickr, You Tube etc. As opposed to "pure" social networking services these collaborative-online communities not only allow users to create new social links (e.g. add other users to their friend or contact list) but also allow users to contribute multimedia content and engage in content-driven interactions (called user-to-content interactions). A good example of this can be seen in Flickr, in general and Flickr Group in particular where users can comment on or "like" an image contributed by another user. This paper looks at the task of predicting the formation of such user-to-content links in Flickr Groups. More specifically, "what is the chance that a user will comment/like an image contributed by another user?". Our proposed method for predicting user-to-content links takes into account both community effect and content effect. Our results on real-world Flickr Group data reveals that the proposed method shows good performance for the user-to-content link prediction task.