System and method for prediction of musical preferences
First Claim
1. A method for predicting a preference of a user for a media item from a group of media items, each of said group of media items having a set of internal characteristics, the method comprising:
- analyzing said group of media items to obtain respective quantifications of said set of internal characteristicsgenerating a test selection of media items from said group said test selection comprising a plurality of media items;
inviting the user to provide a respective rating for each of said selected media items in said test selectionobtaining each rating from said user;
analyzing said obtained ratings over said test selection to determine preferences of said user for said internal characteristics, andpredicting the preference of the user for at least one other media item in said group based on respective internal characteristics of said at least one other media items and said determined preferences of said test selection; and
providing to said user a recommendation for a media item for which said prediction is favorable.
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Abstract
A system and a method for predicting the musical taste and/or preferences of the user The present invention receives, on one hand, ratings of a plurality of songs from the user and/or other information about the taste of the user, and on the other hand information about the songs in the catalog from which recommendations are to be given The method then combines both types of information in order to determine the musical preferences of the user. These preferences are then matched to at least one musical selection, which is predicted to be preferred by the user.
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Citations
26 Claims
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1. A method for predicting a preference of a user for a media item from a group of media items, each of said group of media items having a set of internal characteristics, the method comprising:
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analyzing said group of media items to obtain respective quantifications of said set of internal characteristics generating a test selection of media items from said group said test selection comprising a plurality of media items; inviting the user to provide a respective rating for each of said selected media items in said test selection obtaining each rating from said user; analyzing said obtained ratings over said test selection to determine preferences of said user for said internal characteristics, and predicting the preference of the user for at least one other media item in said group based on respective internal characteristics of said at least one other media items and said determined preferences of said test selection; and providing to said user a recommendation for a media item for which said prediction is favorable. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 26)
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23. A method for predicting a preference of a user for a media selection, the method comprising:
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obtaining an analysis of at least a portion of a catalog of media items according to a plurality of internal media characteristics of each media item in said portion by a group of raters to obtain a quantification of respective internal characteristics of ones of said media items; generating at least one test selection from said catalog, using said rating analysis, said test selection comprising a plurality of selected media items; inviting a user to rate each of said selected media items; obtaining a respective user rating for each of said selected media items; matching an analysis of said user ratings over said test selection to obtain user preference data regarding said internal media characteristics; with said user preference data predicting the preference of the user for at least one further of the media items of the catalog having a different quantification of said internal media characteristics; and using said prediction, recommending at least one predicted media item to the user.
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24. A method for predicting a preference of a user for a media selection, the method comprising:
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automatically analyzing at least a portion of a catalog of media items according to plurality of internal media characteristic of each media item of said portion to obtain a quantification of respective internal characteristics of ones of said media items; generating at least one test selection from said catalog, using said media internal characteristic analysis, said test selection comprising a plurality of selected media items; inviting the user to rate each of said selected media items and obtaining a respective resulting user rating for each of said selected media items; matching an analysis of said user rating over said test selection to obtain user preference data regarding said media items using said at least one internal characteristic; with said user preference data predicting the preference of the user for said media items; and using said prediction, recommending at least one other of said media items to the user. - View Dependent Claims (25)
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Specification