Abstract: Systems, methods, and non-transitory computer-readable storage media for generating an internet radio media station based on metadata available on the user's media library. The media station can be generated in response to a subscription request to an internet radio service. In one example, the media station is generated without a user seed. Metadata related to the user's media library is analyzed and format rules are selected and configured according to the analysis. The format rules are associated with slots in a media station that define the playback sequence of the media station.

Abstract: A media item recommendation can be based on application purchase data. Application purchase data of a population of users can be used to create application preference clusters that represent unique application preference profiles. Media preference data of the same population of users can be used to create media preference clusters that represent unique media preference profiles. A preference relationship between an application preference cluster and a media preference cluster can be identified based on the number of members of the media preference cluster that are also members of the application preference cluster. Upon receiving a recommendation request from a user, the user's application preference profile can be determined based on the user's application purchase data. A media item can then be recommended based on a media preference cluster that has a preference relationship with an application preference cluster that represents the application preference profile of the user.

Abstract: A media item recommendation can be based on application purchase data. Application purchase data of a population of users can be used to create application preference clusters that represent unique application preference profiles. Media preference data of the same population of users can be used to create media preference clusters that represent unique media preference profiles. A preference relationship between an application preference cluster and a media preference cluster can be identified based on the number of members of the media preference cluster that are also members of the application preference cluster. Upon receiving a recommendation request from a user, the user's application preference profile can be determined based on the user's application purchase data. A media item can then be recommended based on a media preference cluster that has a preference relationship with an application preference cluster that represents the application preference profile of the user.

Abstract: Systems, methods, and non-transitory computer-readable storage media for generating an internet radio media station based on metadata available on the user's media library. The media station can be generated in response to a subscription request to an internet radio service. In one example, the media station is generated without a user seed. Metadata related to the user's media library is analyzed and format rules are selected and configured according to the analysis. The format rules are associated with slots in a media station that define the playback sequence of the media station.

Abstract: Systems, methods, and non-transitory computer-readable storage media for generating an internet radio media station based on metadata available on the user's media library. The media station can be generated in response to a subscription request to an internet radio service. In one example, the media station is generated without a user seed. Metadata related to the user's media library is analyzed and format rules are selected and configured according to the analysis. The format rules are associated with slots in a media station that define the playback sequence of the media station.