Modelling User Behaviour and Interactions: Augmented Cognition on the Social Web

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.