A framework for flexible user profile mashups
作者： Ajh Jan Hidders , F Abel , E Leonardi , D Heckmann , E Herder
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摘要: 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 population or are used infrequently. In this paper we present framework eec- tive interchange proles. addition derivation rules prole reasoning, employs exible mash-ups RSS-based data streams combining heterogeneous 2.0 environment.
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