Content-based recommender systems try to recommend items similar to those a given user has liked in the past. The basic process consists of matching up the attributes of a user profile, in which preferences and interests are stored, with the attributes of a content object (item).
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Semeraro et al. (2009) studied this question.
Synapse has enriched 2 closely related papers on similar clinical questions. Consider them for comparative context: