15. The method according to claim 1 , wherein the user profile comprises at least two predictive models.
1. A method of providing selected content items to a user, comprising the steps of: A) identifying a first set of content items based on a request by the user, wherein first content metadata are pre-assigned to the content items of said first set; B) automatically generating second content metadata for the content items of said first set on a basis of at least a first derivation rule, said derivation rule corresponding to an algorithm applied to at least the content items of said first set; C) associating said second content metadata to the content items of said first set; and D) providing a second set of selected content items from said first set on a basis of said first content metadata and said second content metadata, wherein step D) is carried out based on a user profile of the user comprising a predictive model, and wherein the method further comprises building the predictive model based on a feature vector and metadata, wherein the metadata comprises textual components and numerical components, and wherein the feature vector comprises metadata including at least one textual component from at least one of the first content metadata or the second content metadata, wherein in step D) a ranking to each of the content items of said first set is provided on a basis of said second content metadata and of said predictive model so as to define said second set of content items based on said ranking.