Building emergent social networks and group profiles by semantic user preference clustering
Iván Cantador, Pablo Castells · Biblos-e Archivo (Universidad Autónoma de Madrid) · 2006
Abstract. This paper presents a novel approach to automatic semantic social network construction based on semantic user preference clustering. Considering a number of users, each of them with an associated ontology-based profile, we propose a strategy that clusters the concepts of the reference ontology according to user preferences of these concepts, and then determines which clusters are more appropriate to the users. The resultant user clusters can be merged into individual group profiles, automatically defining a semantic social network suitable for use in collaborative and recommendation environments. 1