Methods and systems for personalizing user experience based on personality traits

    公开(公告)号:US10798214B2

    公开(公告)日:2020-10-06

    申请号:US16186292

    申请日:2018-11-09

    申请人: Spotify AB

    IPC分类号: H04L29/08

    摘要: 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.

    Methods and Systems for Personalizing Content in Accordance with Divergences in a User's Listening History

    公开(公告)号:US20200053177A1

    公开(公告)日:2020-02-13

    申请号:US16566757

    申请日:2019-09-10

    申请人: Spotify AB

    摘要: 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.