A Framework for Flexible User Profile Mashups

Exploiting the rich traces of users' Web interaction promises to enable cross-application user modeling techniques, which is in particu- lar interesting for applications that have a small user population or that are used infrequently. In this paper we present a framework for the eec- tive interchange of user proles. In addition to derivation rules for user prole reasoning, the framework employs exible mash-ups of RSS-based user data streams for combining heterogeneous user data in a Web 2.0 environment.

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