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公开(公告)号:US10798214B2
公开(公告)日:2020-10-06
申请号:US16186292
申请日:2018-11-09
Applicant: Spotify AB
Inventor: Clay Gibson , Will Shapiro , Santiago Gil , Ian Anderson , Margreth Mpossi , Oguz Semerci , Scott Wolf
IPC: H04L29/08
Abstract: An electronic device associated with a media-providing service assigns one or more characteristics of media items to at least one respective personality trait of a plurality of personality traits. The media items are provided by the media-providing service. The electronic device assigns one or more user behaviors to a first personality trait and tracks behavior of a user. The electronic device determines that a tracked behavior of the user corresponds to a first user behavior of the one or more user behaviors and assigns the first personality trait to the user based at least in part on determining that the tracked behavior of the user corresponds to the first user behavior. The electronic device provides personalized content to the user in accordance with a determination that the degree to which the tracked behavior of the user corresponds to the first user behavior satisfies a threshold.
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12.
公开(公告)号:US20200053177A1
公开(公告)日:2020-02-13
申请号:US16566757
申请日:2019-09-10
Applicant: Spotify AB
Inventor: Clay Gibson , Will Shapiro , Santiago Gil , Ian Anderson , Margreth Mpossi , Oguz Semerci , Scott Wolf
IPC: H04L29/08 , H04L29/06 , G06F16/435 , G06F16/635
Abstract: An electronic device accesses a listening history of a user of a media-providing service. For each characteristic of a set of characteristics describing tracks provided by the media-providing service, the electronic device determines, for the user, a measure of divergence indicating a degree of lack of uniformity in the listening history of the user with respect to listening contexts. The electronic device identifies a characteristic, of the set of characteristics, having a respective measure of divergence that satisfies a threshold. The electronic device determines a representative value of the identified characteristic for a listening context corresponding to a current listening context of the user and provides personalized content to a client device of the user based on the representative value of the identified characteristic, including providing a recommended playlist that includes tracks having the representative value of the identified characteristic for the listening context corresponding to the current listening context.
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公开(公告)号:US20200007253A1
公开(公告)日:2020-01-02
申请号:US16570896
申请日:2019-09-13
Applicant: Spotify AB
Inventor: Clay Gibson , Santiago Gil , Ian Anderson , Oguz Semerci , Scott Wolf , Margreth Mpossi
IPC: H04H60/45 , H04H60/33 , H04H60/40 , G06F16/435 , G06F16/438
Abstract: A server system accesses a listening history of a user of the media-providing service, where the user is in a demographic group. For each track of a plurality of tracks in the listening history of the user, the server system determines a year associated with the track and calculates a first metric based at least in part of an affinity of members of a demographic group, as compared to members of other demographic groups, of music from the year associated with the track. The server system selects content for the user based on the first metric and provides the selected content to a client device associated with the user.
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14.
公开(公告)号:US10412183B2
公开(公告)日:2019-09-10
申请号:US15684841
申请日:2017-08-23
Applicant: Spotify AB
Inventor: Clay Gibson , Will Shapiro , Santiago Gil , Ian Anderson , Margreth Mpossi , Oguz Semerci , Scott Wolf
IPC: H04L29/08 , H04L29/06 , G06F16/435 , G06F16/635
Abstract: An electronic device accesses a listening history of a user of a media-providing service, and for each characteristic of a set of characteristics describing tracks provided by the media-providing service, determines a measure of divergence with respect to listening contexts for the listening history of the user. The electronic device identifies a characteristic that has a respective measure of divergence that satisfies a threshold indicative of a lack of uniformity in the listening history with respect to the listening contexts. The electronic device determines a representative value of the identified characteristic for a listening context corresponding to a current listening context of the user. The electronic device provides personalized content to a client device of the user based on the current listening context and representative value of the identified characteristic.
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公开(公告)号:US20180367229A1
公开(公告)日:2018-12-20
申请号:US16041584
申请日:2018-07-20
Applicant: SPOTIFY AB
Inventor: Clay Gibson , Santiago Gil , Ian Anderson , Oguz Semerci , Scott Wolf , Margreth Mpossi
CPC classification number: H04H60/45 , G06F16/435 , G06F16/4387 , G06F16/635 , H04H60/31 , H04H60/33 , H04H60/40 , H04H60/46 , H04H60/66 , H04H2201/30
Abstract: A server system accesses a listening history of a user of the media-providing service, where the user is in a demographic group. For each track of a plurality of tracks in the listening history of the user, the server system calculates a first metric based at least in part on an affinity of members of the demographic group, as compared to members of other demographic groups, for the track. The server system selects content for the user based on the first metric and provides the selected content to a client device associated with the user.
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公开(公告)号:US10148789B2
公开(公告)日:2018-12-04
申请号:US15948211
申请日:2018-04-09
Applicant: SPOTIFY AB
Inventor: Clay Gibson , Will Shapiro , Santiago Gil , Ian Anderson , Margreth Mpossi , Oguz Semerci , Scott Wolf
IPC: H04L29/08
Abstract: An electronic device associated with a media-providing service has one or more processors and memory storing instructions for execution by the one or more processors. The electronic device accesses a listening history of a user of the media-providing service. Based at least in part on the listening history of the user, the electronic device assigns a first personality trait of a plurality of personality traits to the user. The electronic device provides personalized content to the user based on the first personality trait.
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公开(公告)号:US20180246694A1
公开(公告)日:2018-08-30
申请号:US15729351
申请日:2017-10-10
Applicant: SPOTIFY AB
Inventor: Clay Gibson , Will Shapiro , Santiago Gil , Ian Anderson , Margreth Mpossi , Oguz Semerci , Scott Wolf
CPC classification number: G06F17/30761 , G06F3/165 , G06F17/3053 , G06F17/30772 , G10H2240/131 , H04L65/60 , H04L67/22 , H04L67/306 , H04N21/2407 , H04N21/25891 , H04N21/26258
Abstract: A server system of a media-providing service has one or more processors and memory that stores instructions for execution by the one or more processors. The server system accesses a listening history of a user that specifies tracks consumed by the user. The tracks have respective characteristics that describe the tracks. The server system determines for the user, using the listening history, a diversity score based on variation of the characteristics across the tracks consumed by the user. The server system provides personalized content to the user based on the diversity score.
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公开(公告)号:US11159261B2
公开(公告)日:2021-10-26
申请号:US16892116
申请日:2020-06-03
Applicant: Spotify AB
Inventor: Clay Gibson , Santiago Gil , Ian Anderson , Oguz Semerci , Scott Wolf , Margreth Mpossi
IPC: H04H60/45 , G06F16/435 , H04H60/33 , H04H60/40 , G06F16/438 , H04H60/31 , H04H60/66 , H04H60/46 , G06F16/635
Abstract: A server system accesses a profile of a user of the media-providing service. The profile indicates a demographic group of the user. For each track of a plurality of tracks, the server system determines a year associated with the track. The server system selects content for the user based at least in part on an affinity of members of the demographic group, as compared to members of other demographic groups, of music from the year associated with the track. The server system provides the selected content to a client device associated with the user.
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公开(公告)号:US11080002B2
公开(公告)日:2021-08-03
申请号:US16270490
申请日:2019-02-07
Applicant: Spotify AB
Inventor: Clay Gibson , Will Shapiro , Santiago Gil , Ian Anderson , Margreth Mpossi , Oguz Semerci , Scott Wolf , Benjamin Lacker
IPC: G06F16/00 , G06F3/16 , H04L29/08 , H04N21/262 , G06F16/635 , G06F16/638 , H04N21/24 , H04N21/258 , H04L29/06 , G06F16/2457
Abstract: An electronic device associated with a media-providing service has one or more processors and memory storing instructions for execution by the one or more processors. For each track of a plurality of tracks consumed by a user of the media-providing service, the electronic device receives, over a time window, an indication of user selection of the track to compile a listening history of the user and determines, based on the listening history of the user with the media-providing service, whether the track has previously been consumed by the user. The electronic device determines, for the user, a discovery score corresponding to an average preference of the user for selecting previously unconsumed tracks. In response to determining that an amount of use of the media-providing service by the user does not satisfy a use threshold, the electronic device forgoes recommending tracks to the user based on the discovery score.
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公开(公告)号:US10972583B2
公开(公告)日:2021-04-06
申请号:US16791990
申请日:2020-02-14
Applicant: Spotify AB
Inventor: Clay Gibson , Will Shapiro , Santiago Gil , Ian Anderson , Margreth Mpossi , Oguz Semerci , Scott Wolf
IPC: H04L29/08
Abstract: An electronic device associated with a media-providing service assigns one or more characteristics of media items to at least one respective personality trait of a plurality of personality traits. The media items are provided by the media-providing service. The electronic device assigns one or more user behaviors to a first personality trait and tracks behavior of a user. The electronic device determines that a tracked behavior of the user corresponds to a first user behavior of the one or more user behaviors and assigns the first personality trait to the user based at least in part on determining that the tracked behavior of the user corresponds to the first user behavior. The electronic device provides personalized content to the user in accordance with a determination that the degree to which the tracked behavior of the user corresponds to the first user behavior satisfies a threshold.
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