New Tagging Paradigms for Content Recommendation in Web 2.0 Portals

Abstract. With this paper we tie in with what we presented during last year’s workshop [5] where we illustrated how to analyze users ’ tagging and rating behavior to construct user- and context models that can be used to perform adaptations and to issue recommendations in order to create more user-tailored Web Portals. This time we want to present more sophisticated tagging paradigms and their influence on users collaboration behavior and the construction of user- and context-models. The concepts presented are currently been prototypically implemented within IBM’s WebSphere Portal and can be presented in a live demo at the workshop.