Disclosed are various embodiments for recommending content for users. A user is associated with a user preferred character that is represented in a first network content. A library is referenced to identify a recommended character based at least upon the user preferred character, the recommended character being represented in a second network content, the library associating the preferred character to the recommended character according to a relationship score. A recommendation is sent for presentation of the second network content.