A framework for flexible user profile mashups
Fabian Abel, Dominik Heckmann, Eelco Herder, Jan Hidders, Gjpm Geert-Jan Houben, Daniel Krause, Erwin Leonardi, van der Kam Kees Sluijs · 2009
Abstract. Exploiting the rich traces of users ’ Web interaction promises to enable cross-application user modeling techniques, which is in particular interesting for applications that have a small user population or that are used infrequently. In this paper we present a framework for the effective interchange of user profiles. In addition to derivation rules for user profile reasoning, the framework employs flexible mash-ups of RSS-based user data streams for combining heterogeneous user data in a Web 2.0 environment. 1