The author-topic model for authors and documents
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Factorization meets the neighborhood: a multifaceted collaborative filtering model
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Tag Recommendations in Folksonomies
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
Recommending scientific articles using citeulike
Proceedings of the 2008 ACM conference on Recommender systems
On social networks and collaborative recommendation
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Learning to recommend with social trust ensemble
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
IEEE Transactions on Knowledge and Data Engineering
Social media recommendation based on people and tags
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
A matrix factorization technique with trust propagation for recommendation in social networks
Proceedings of the fourth ACM conference on Recommender systems
Soft-constraint based online LDA for community recommendation
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
Which photo groups should I choose? A comparative study of recommendation algorithms in Flickr
Journal of Information Science
A recommender system based on tag and time information for social tagging systems
Expert Systems with Applications: An International Journal
Like like alike: joint friendship and interest propagation in social networks
Proceedings of the 20th international conference on World wide web
Personalized topic-based tag recommendation
Neurocomputing
Recommending Flickr groups with social topic model
Information Retrieval
Exploring social influence for recommendation: a generative model approach
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Connecting comments and tags: improved modeling of social tagging systems
Proceedings of the sixth ACM international conference on Web search and data mining
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The boom of Flickr, a photo-sharing social tagging system, leads to a dramatical increasing of online social interactions. For example, it offers millions of groups for users to join in order to share photos and keep relations. However, the rapidly increasing amount of groups hampers users' participation, thus it is necessary to suggest groups according to users' preferences. By analyzing user-generated tags, one can explore users' potential interests, and discover the latent topics of the corresponding groups. Furthermore, users' behaviors are affected by their friends. Based on these intuitions, we propose a topic-based group recommendation model to predict users' potential interests and conduct group recommendations based on tags and social relations. The proposed model provides a way to fuse tag information and social network structure to predict users' future interests accurately. The experimental results on a real-world dataset demonstrate the effectiveness of the proposed model.