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US Patent 10387478 Graph-based music recommendation and dynamic media work micro-licensing systems and methods

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Is a
Patent
Patent
0

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
103874780
Patent Inventor Names
Nathan Kent Rozendaal0
Darryl William Wood0
Heng Cao0
Mario Raymond Gerard0
Yu Wu0
Aaron Clark Griffith0
Date of Patent
August 20, 2019
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Patent Application Number
149630680
Date Filed
December 8, 2015
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Patent Citations Received
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US Patent 11430419 Automatically managing the musical tastes and preferences of a population of users requesting digital pieces of music automatically composed and generated by an automated music composition and generation system
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US Patent 11037540 Automated music composition and generation systems, engines and methods employing parameter mapping configurations to enable automated music composition and generation
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US Patent 11037541 Method of composing a piece of digital music using musical experience descriptors to indicate what, when and how musical events should appear in the piece of digital music automatically composed and generated by an automated music composition and generation system
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US Patent 11037538 Method of and system for automated musical arrangement and musical instrument performance style transformation supported within an automated music performance system
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US Patent 11651757 Automated music composition and generation system driven by lyrical input
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US Patent 11657787 Method of and system for automatically generating music compositions and productions using lyrical input and music experience descriptors
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US Patent 11675831 Geolocation based playlists
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US Patent 11776518 Automated music composition and generation system employing virtual musical instrument libraries for producing notes contained in the digital pieces of automatically composed music
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Patent Primary Examiner
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Kathleen Palavecino
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Patent abstract

Provided herein are systems and methods for generating a set of recommended media works based on an identified seed media work. The seed media work is used to identify a set of co-occurring media works, which are defined as media works that have been intentionally interacted with within a predetermined time window as the seed media work by a single user. After the co-occurrence set is created, it is ranked and filtered. Media works identified in the co-occurrence set may then be selected based on their ranking.

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