Maximizing the spread of influence through a social network
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Personalized recommendation driven by information flow
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
The dynamics of viral marketing
ACM Transactions on the Web (TWEB)
Information flow modeling based on diffusion rate for prediction and ranking
Proceedings of the 16th international conference on World Wide Web
Feedback effects between similarity and social influence in online communities
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Factorization meets the neighborhood: a multifaceted collaborative filtering model
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Personalized recommendation in social tagging systems using hierarchical clustering
Proceedings of the 2008 ACM conference on Recommender systems
Recommending scientific articles using citeulike
Proceedings of the 2008 ACM conference on Recommender systems
SoRec: social recommendation using probabilistic matrix factorization
Proceedings of the 17th ACM conference on Information and knowledge management
Community gravity: measuring bidirectional effects by trust and rating on online social networks
Proceedings of the 18th international conference on World wide web
TrustWalker: a random walk model for combining trust-based and item-based recommendation
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Collaborative filtering with temporal dynamics
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Social influence analysis in large-scale networks
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
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 trust and distrust relationships
Proceedings of the third ACM conference on Recommender systems
Collaborative filtering for social tagging systems: an experiment with CiteULike
Proceedings of the third ACM conference on Recommender systems
Learning influence probabilities in social networks
Proceedings of the third ACM international conference on Web search and data mining
Modeling relationship strength in online social networks
Proceedings of the 19th international conference on World wide web
Capturing implicit user influence in online social sharing
Proceedings of the 21st ACM conference on Hypertext and hypermedia
Strength of social influence in trust networks in product review sites
Proceedings of the fourth ACM international conference on Web search and data mining
Patterns of influence in a recommendation network
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
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Social sharing on the Web has become very popular in recent years. However, as the amount of information grows rapidly it becomes difficult for a user to discover relevant information. The principle of augmented cognition can be applied to help users on the Social Web. This can be done by modelling the behaviours and interactions of the users in a system in order to discover implicit relations among the users. We describe two related approaches to model user behaviours for different types of social sharing sites. We show that the methods can be used to help users identify social relations that are more important to them, as well as items that are more relevant to their interests.