1. A method of predicting items of media content most likely to appeal to a user, comprising: accepting ratings, at a multimedia recording device, of media content items from a user, via a graphical user interface, according to a rating system; expressing the rating system using a graphical metaphor; receiving by the multimedia recording device, from a server, correlation data between pairs of available media content; generating ratings at the multimedia recording device of media content items not rated by the user according to one or more predictive algorithms, based on the media content items specifically rated by the user and the correlation data received from the server; displaying, by the multimedia recording device, the media content items ratings by the user and the generated media content ratings in the graphical user interface; and allowing the user to correct generated media content ratings displayed in the graphical user interface in order to obtain generated media content ratings more in line with what the user expects.
1. A method of predicting items of media content most likely to appeal to a user, comprising: accepting ratings, at a multimedia recording device, of media content items from a user, via a graphical user interface, according to a rating system; expressing the rating system using a graphical metaphor; receiving by the multimedia recording device, from a server, correlation data between pairs of available media content; generating ratings at the multimedia recording device of media content items not rated by the user according to one or more predictive algorithms, based on the media content items specifically rated by the user and the correlation data received from the server; displaying, by the multimedia recording device, the media content items ratings by the user and the generated media content ratings in the graphical user interface; and allowing the user to correct generated media content ratings displayed in the graphical user interface in order to obtain generated media content ratings more in line with what the user expects. 6. The method of claim 1 , wherein the graphical metaphor utilises “thumbs up” icons for favorable ratings and “thumbs down” icons for unfavorable ratings, and wherein a number of thumbs assigned to an item equals a numerical value of the rating.