document: Semantic personalization of web portal contents Enriching Web applications with personalized data is of major interest for facilitating the user access to the published contents , and therefore , for guaranteeing successful user navigation . We propose a conceptual model for extracting personalized recommendations based on user profiling , ontological domain models , and semantic reasoning . The approach offers a high-level representation of the designed application based on a domain-specific metamodel for Web applications called WebML .
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