User profiles play an important role in any process of personalization as they represent the user's interests and preferences. Only if a user profile faithfully represents the information related to a user a system may rely on it. This paper shortly presents a comparative evaluation between two distinct approaches that analyze textual documents for defining user profiles based on the usage of the YAGO general purpose ontology. The performed evaluations compare the two approaches both by the robust index measure and their efficiency.
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