Abstract: Embodiments of the present invention provide a system and method for the use of communications networks and preference information to automate the accumulation, processing, and summarization of business credit data pertaining to one or more subject businesses.

Abstract: A system and methods for the dynamic generation of playlists 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 generating playlists of closely related and/or similarly situated media entities for distribution to participating users. Techniques for providing a dynamic recommendation engine and techniques for rating media entities are also included. In an illustrative implementation, the playlists may be generated and stored allowing for user persistence from experience to experience.

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.

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.

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.

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.

Abstract: A system and methods for the dynamic generation of playlists 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 generating playlists of closely related and/or similarly situated media entities for distribution to participating users. Techniques for providing a dynamic recommendation engine and techniques for rating media entities are also included. In an illustrative implementation, the playlists may be generated and stored allowing for user persistence from experience to experience.

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.

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.

Abstract: A system and methods for the dynamic generation of playlists 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 generating playlists of closely related and/or similarly situated media entities for distribution to participating users. Techniques for providing a dynamic recommendation engine and techniques for rating media entities are also included. In an illustrative implementation, the playlists may be generated and stored allowing for user persistence from experience to experience.

Abstract: A system and methods for the dynamic generation of playlists 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 generating playlists of closely related and/or similarly situated media entities for distribution to participating users. Techniques for providing a dynamic recommendation engine and techniques for rating media entities are also included. In an illustrative implementation, the playlists may be generated and stored allowing for user persistence from experience to experience.

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.