Saar Picker - Bellevue WA Michael J. Carreno - Redmond WA Frank Flannery - Bellevue WA
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 1700
US Classification:
707102, 7071041
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.
Classification Of Information And Use Of Classifications In Searching And Retrieval Of Information
Jeremy D. F. Hinman - Palo Alto CA, US Rolf W. Kaiser - Redwood City CA, US Geoffrey R. Stanfield - Palo Alto CA, US Paul Deeds - Berkeley CA, US Frank Flannery - San Francisco CA, US David Rivelli - Berkeley CA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G10H 7/00 G04B 13/00 A63H 5/00
US Classification:
84609
Abstract:
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
Jeremy D. F. Hinman - Palo Alto CA, US Rolf W. Kaiser - Redwood City CA, US Geoffrey R. Stanfield - Palo Alto CA, US Paul Deeds - Berkeley CA, US Frank Flannery - San Francisco CA, US David Revelli - Berkeley CA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G10H 7/00 G04B 13/00 A63H 5/00
US Classification:
84615, 84609
Abstract:
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.
Saar Picker - Bellevue WA, US Michael J. Carreno - Redmond WA, US Frank Flannery - Bellevue WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 17/00
US Classification:
707602, 707607, 707610, 707690, 707706, 707827
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.
Saar Picker - Bellevue WA, US Michael J. Carreno - Redmond WA, US Frank Flannery - Bellevue WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 17/00
US Classification:
707102, 7071041
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.
Music Content Characteristic Identification And Matching
Frank P. Flannery - Bellevue WA Paul D. Deeds - Seattle WA Christian E. Schrock - Seattle WA
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G10H 140
US Classification:
84609, 84611, 84612
Abstract:
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.