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公开(公告)号:US10891679B2
公开(公告)日:2021-01-12
申请号:US16132880
申请日:2018-09-17
Applicant: Amazon Technologies, Inc.
Inventor: James H. Wood , Patrick C. Teo , Benjamin L. Shepherd , Korwin J. Smith , Scott Durham , Piragash Velummylum , Emily J. Butler
IPC: G06Q30/06
Abstract: Disclosed are various embodiments relating to generating media item recommendations based upon determining a beats per minute value. A media recommendation application determines a beats per minute value based upon a pacing measurement of the user. The media recommendation application then identifies one or more media item having a beats per minute that is similar to the beats per minute value. The media recommendation application then identifies a subset of the media item candidates to surface as recommendations for the user.
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公开(公告)号:US10121182B1
公开(公告)日:2018-11-06
申请号:US14138381
申请日:2013-12-23
Applicant: Amazon Technologies, Inc.
Inventor: James H. Wood , Patrick C. Teo , Benjamin L. Shepherd , Korwin J. Smith , Scott Durham , Piragash Velummylum , Emily J. Butler
Abstract: Disclosed are various embodiments relating to generating media item recommendations based upon determining a beats per minute value. A media recommendation application determines a beats per minute value based upon the activity of a user. The media recommendation application then identifies one or more media item candidates having a number of beats per minute within a predefined delta of the beats per minute value. The media recommendation application then filters out the media items possessed and information associated with the user to identify a subset of the media item candidates to surface as recommendations.
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公开(公告)号:US10719838B2
公开(公告)日:2020-07-21
申请号:US15482241
申请日:2017-04-07
Applicant: Amazon Technologies, Inc.
Inventor: Toby Ray Latin-Stoermer , Scott K. Meaker , Scott Durham , Stephen C. Mack , Ralph Cameron Harvey , Erin O. Anderson
IPC: G06Q30/00 , G06Q30/02 , H04L29/06 , H04W4/029 , H04W4/02 , G06F16/9537 , G06F16/435 , G06Q50/00
Abstract: Disclosed are various embodiments for generating event recommendations. Embodiments of the disclosure identify an event associated with a location and an artist. An artist recommendation corresponding to the artist is generated for users based upon the media consumption of the users. An event recommendation corresponding to the event is generated for users near the location. A level of demand for the event is determined based upon a conversion rate.
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