The current paper expose a solution of personalized recommendations for e-learning systems adopting an ontology-based modeling of user profiles and document models. Because the solution is situated at the interference of three domains (e-learning, semantic Web and adaptive hypermedia systems), a methodological argumentation is provided with respect to the existing techniques in these domains. As well, some existing systems that have similar aspects to the proposed solution are presented and compared, and the demands for a more accurate evaluation are discussed.