Microsoft Technology Licensing, LLC

Frank Flannery

Michael J Carreno

Paul Deeds

Saar Picker

Rolf W Kaiser

Geoffrey R Stanfield

Jeremy D F Hinman

Christian Eric Schrock

David Revelli

David Rivelli

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.

System and method for dynamic playlist of media

A method and apparatus are provided for classification of information and using the classification information in search and retrieval of information. In one embodiment, musical compositions having various highly subjective characteristics and features are classified according to a schema of objective attributes that are associated with the characteristics and features. Categorizers carry out the classification and create and store attribute information in a database. A search and retrieval system can receive information that characterizes the features of a desired composition and can locate a matching composition. As a result, information having subjective characteristics, such as musical compositions, may be compared and similar musical compositions can be located.

Classification and use of classifications in searching and retrieval of information

Classification of information and use of classifications in searching and retrieval of information

A system and methods for matching media entities to associate closely related media entities 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 match media entities using aggregation and non-aggregation matching. In an illustrative implementation, various factors representative of inherent characteristics of the media entities are employed and processed to generate data sets having closely related and/or similarly situated media entities. Once a media matching is performed on a library of media entities, the results of the media match may be persisted for the user from experience to experience.

Music content characteristic identification and matching

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Bellevue, WA, United States of America

Frank Flannery