38. A method of predicting items of media content likely to appeal to a user, comprising: predicting a rating of an item based on features explicitly rated by a user; in the absence of explicitly rated features, predicting a rating of an item based on implicitly rated features, wherein an adaptive modeling algorithm generates the implicit feature ratings based on previous overall ratings of items made by the user; and allowing the user to correct a predicted rating for an item in order to obtain predicted item ratings more in line with what the user expects; wherein the method is performed by one or more computing devices.
46. The method of claim 38 , wherein the media content comprises any of network television programming, cable television programming, pay-per-view television programming, movies and public-access television programming.