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recommender, for warm items, with a content-based filtering recommender, for cold-items. While the two algorithms can be combined in different ways, the main drawback of this method is related to the poor recommendation quality often exhibited by content-based recommenders in scenarios where it is difficult to provide a comprehensive description of the item characteristics.In case of new users, if no demographic feature is present or their quality is too poor, a common strategy is to offer them

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