An Extended Architecture for Adaptation of Social Navigation

Social navigation is a way for users to navigate through social information such as resources and social annotation (tags). However, due to the growth of social networks, the user could be lost. To avoid this problem of disorientation, we try to adapt the social information through a recommendation technique by providing useful information according to the user’s needs. In this paper, we present an extended architecture of social recommender system. The originality of this architecture rely on the way to combine the collective intelligence of the social network with the user’s behaviour especially his tagging behaviour.