公开(公告)号：WO2016049361A1

公开(公告)日：2016-03-31

申请号：PCT/US2015/052037

申请日：2015-09-24

Applicant: PANDORA MEDIA, INC.

Inventor： LIND, Kyle, George ,  YE, Tao

IPC: G06Q30/02 ,  G06Q30/06

CPC classification number: H04N21/2668 ,  H04N21/222 ,  H04N21/252 ,  H04N21/25883 ,  H04N21/25891 ,  H04N21/44222 ,  H04N21/8113 ,  H04N21/812

Abstract: A content server monitors media preferences of a user associated with a partial user profile specifying partial demographic information about the user. The content server deconstructs the monitored media preferences to identify preferences of the user for musicological features of the media items. The content server infers profile information missing from the partial user profile responsive to the preferences of the user for musicological features of the media items, the inferring using baseline information associating profile information of a plurality of baseline users with preferences for musicological features of media items. The content server selects an advertisement using the inferred profile information, and provides the selected advertisement to a client device used by the user.

Abstract translation: 内容服务器监视与部分用户简档相关联的用户的媒体偏好，其指定关于用户的部分人口统计信息。 内容服务器解构所监视的媒体偏好，以识别用户对媒体项的音乐特征的偏好。 内容服务器响应于用户对于媒体项的音乐特征的偏好来推断部分用户简档中丢失的简档信息，使用将多个基准用户的简档信息与媒体项的音乐特征的偏好相关联的基线信息进行推断。 内容服务器使用推断的简档信息来选择广告，并且将所选择的广告提供给用户使用的客户端设备。

公开(公告)号：WO2014143685A1

公开(公告)日：2014-09-18

申请号：PCT/US2014/027750

申请日：2014-03-14

Applicant: PANDORA MEDIA

Inventor： YE, Tao ,  RIOS, Gordon, Parker

IPC: H04N21/25 ,  H04N21/466 ,  H04N21/475

CPC classification number: G06F17/30752 ,  G06F3/01 ,  G06F3/0484 ,  G06F3/165 ,  H04N21/252 ,  H04N21/4668 ,  H04N21/4756

Abstract: Systems and methods are provided for personalizing new song suggestions for a user. A plurality of users provides thumbs up and thumbs down ratings for a pair of songs (song A and B). A first aggregate rating for song B is calculated based on ratings given to song A by all of the users that gave a like rating to song A. Similarly, a second aggregate rating is calculated for song B based on ratings given to song B by all users that gave a dislike rating to song A. Then a user that has not previously rated song B, supplies a rating for song A. A prediction is performed of how the user will rate song B based on the user's rating of song A. For example, the first aggregate rating for song B is used if the user rated song A positively.

Abstract translation: 提供系统和方法来为用户个性化新的歌曲建议。 多个用户为一首歌曲（歌曲A和B）提供赞许和缩略评级。 歌曲B的第一个总评分是根据对歌曲A给出类似评分的所有用户给予歌曲A的评分计算的。类似地，基于对所有歌曲B的评分，针对歌曲B计算第二个总分数 用户对歌曲A给出不满评级。然后，以前没有评分歌曲B的用户提供歌曲A的评级。根据用户对歌曲A的评级，用户如何评价歌曲B的预测。对于 例如，如果用户积极地评价歌曲A，则使用歌曲B的第一个总评分。