System and methods for the automatic transmission of new, high affinity media

Abstract

A system and methods for the automatic transmission of new, high affinity media to a user are provided. In connection with a system that convergently merges perceptual and digital signal processing analysis of media entities for purposes of classifying the media entities, various means are provided to a user for automatically extracting media entities that represent a high (or low) affinity state/space for the user in connection with the generation of a high affinity playlist, channel or station. Techniques for providing a dynamic recommendation engine and techniques for rating media entities are also included are also included. Once a high affinity state/space is identified, the high affinity state/space may be persisted for the user from experience to experience.

1 . A method for generating a media playlist, comprising:
 analyzing a selected media entity to determine a set of classification mappings;   receiving a rating for the selected media entity;   accessing a user's media mappings, the media mappings determined as a function of the user's past media ratings;   updating the user's media mappings as a function of the received rating and said set of classification mappings;   generating the media playlist by searching a database of media entities and weighting each media entity such that the media entity is more likely to be included in the playlist when the media entity's classification mapping corresponds to the user's updated media mappings according to at least one criterion.   
   
   
       2 . The method of  claim 1 , further comprising determining initial conditions for the user's media mappings, comprising aggregating mappings of the user's rated entities. 
   
   
       3 . The method of  claim 1 , further comprising determining a high affinity space and a low affinity space as a function of the user's media mappings. 
   
   
       4 . The method of  claim 3 , wherein said weighting further comprises weighting each media entity as more likely to be included in the playlist when the media entity's mapping is substantially similar to the user's high affinity space and less likely to be included in the playlist when the media entity's mapping is substantially similar to the user's low affinity space. 
   
   
       5 . The method of  claim 4 , wherein the media entity is blocked from entering the playlist when the media entity's mapping is substantially similar to the user's low affinity space and the number of media entities in the playlist meets a threshold level. 
   
   
       6 . The method of  claim 1 , wherein the rating further comprises an active rating and at least one passive rating. 
   
   
       7 . A computing system adapted to generate a media playlist, comprising:
 a server; and   computing memory communicatively coupled to said server, the computing memory having stored therein a software application adapted to perform the following:   analyze a selected media entity to determine a set of classification mappings;   receive a rating for the selected media entity;   access a user's media mappings, the media mappings determined as a function of the user's past media ratings;   update the user's media mappings as a function of the received rating and said set of classification mappings;   generate the media playlist by searching a database of media entities and weighting each media entity such that the media entity is more likely to be included in the playlist when the media entity's classification mapping corresponds to the user's updated media mappings according to at least one criterion.   
   
   
       8 . A computer-readable storage medium comprising computer-executable instructions for generating a media playlist, the instructions for implementing steps comprising:
 analyzing a selected media entity to determine a set of classification mappings;   receiving a rating for the selected media entity;   accessing a user's media mappings, the media mappings determined as a function of the user's past media ratings;   updating the user's media mappings as a function of the received rating and said set of classification mappings;   generating the media playlist by searching a database of media entities and weighting each media entity such that the media entity is more likely to be included in the playlist when the media entity's classification mapping corresponds to the user's updated media mappings according to at least one criterion.