Determining media consumption preferences
    1.
    发明授权
    Determining media consumption preferences 有权
    确定媒体消费偏好

    公开(公告)号:US09547698B2

    公开(公告)日:2017-01-17

    申请号:US13868504

    申请日:2013-04-23

    申请人: Google Inc.

    IPC分类号: G06F17/30 G06Q30/02 G06Q30/06

    摘要: Systems and methods are disclosed for determining media consumption preferences. A method may include accessing media consumption history associated with a user. The media consumption history may include at least one of media purchase history of the user, media viewing history of the user, and media listening history of the user. A media category preference of the user may be determined, based on the media consumption history. The media category preference may include a popularity indication for each of a plurality of media categories of media items in the media consumption history. Search results provided in response to a search query by the user and/or media recommendations prepared for the user may be scored based on the media category preference. The media may include a video, a movie, a TV show, a book, an audio recording, a music album and/or another type of digital media.

    摘要翻译: 公开了用于确定媒体消费偏好的系统和方法。 方法可以包括访问与用户相关联的媒体消费历史。 媒体消费历史可以包括用户的媒体购买历史,用户的媒体观看历史和用户的媒体收听历史中的至少一个。 可以基于媒体消费历史来确定用户的媒体类别偏好。 媒体类别偏好可以包括媒体消费历史中媒体项目的多个媒体类别中的每一个的流行度指示。 响应于用户的搜索查询提供的搜索结果和/或为用户准备的媒体推荐可以基于媒体类别偏好来评分。 媒体可以包括视频,电影,电视节目,书,音频记录,音乐相册和/或其他类型的数字媒体。

    PERSONALIZED DIGITAL CONTENT SEARCH
    3.
    发明申请
    PERSONALIZED DIGITAL CONTENT SEARCH 审中-公开
    个性化数字内容搜索

    公开(公告)号:US20140317099A1

    公开(公告)日:2014-10-23

    申请号:US13868533

    申请日:2013-04-23

    申请人: GOOGLE INC.

    IPC分类号: G06F17/30

    CPC分类号: G06F16/24578 G06F16/9535

    摘要: Systems and method are disclosed personalizing search results. An example method for personalizing search results may include receiving from a user, a search query for a media item, identifying search results for the search query, and generating a score for each of a plurality of media items identified in the search results. The score for a corresponding one of the plurality of media items may be based on the search query and one or both of a personalized query independent score and/or a personalized query dependent score. The at least one personalized query independent and query dependent scores may be based on at least one media preference signal associated with the user. The search results may be ranked based on the generated score for each of the plurality of media items.

    摘要翻译: 披露了个性化搜索结果的系统和方法。 用于个性化搜索结果的示例方法可以包括从用户接收媒体项的搜索查询,识别搜索查询的搜索结果,以及为搜索结果中标识的多个媒体项中的每一个生成分数。 多个媒体项目中对应的一个媒体项目的分数可以基于搜索查询以及个性化查询独立分数和/或个性化查询依赖分数中的一个或两个。 所述至少一个个性化查询独立和查询相关分数可以基于与用户相关联的至少一个媒体偏好信号。 可以基于多个媒体项目中的每一个的生成得分来对搜索结果进行排名。

    DETERMINING MEDIA CONSUMPTION PREFERENCES
    4.
    发明申请
    DETERMINING MEDIA CONSUMPTION PREFERENCES 有权
    确定媒体消费优先

    公开(公告)号:US20140317098A1

    公开(公告)日:2014-10-23

    申请号:US13868504

    申请日:2013-04-23

    申请人: Google Inc.

    IPC分类号: G06F17/30

    摘要: Systems and methods are disclosed for determining media consumption preferences. A method may include accessing media consumption history associated with a user. The media consumption history may include at least one of media purchase history of the user, media viewing history of the user, and media listening history of the user. A media category preference of the user may be determined, based on the media consumption history. The media category preference may include a popularity indication for each of a plurality of media categories of media items in the media consumption history. Search results provided in response to a search query by the user and/or media recommendations prepared for the user may be scored based on the media category preference. The media may include a video, a movie, a TV show, a book, an audio recording, a music album and/or another type of digital media.

    摘要翻译: 公开了用于确定媒体消费偏好的系统和方法。 方法可以包括访问与用户相关联的媒体消费历史。 媒体消费历史可以包括用户的媒体购买历史,用户的媒体观看历史和用户的媒体收听历史中的至少一个。 可以基于媒体消费历史来确定用户的媒体类别偏好。 媒体类别偏好可以包括媒体消费历史中媒体项目的多个媒体类别中的每一个的流行度指示。 响应于用户的搜索查询提供的搜索结果和/或为用户准备的媒体推荐可以基于媒体类别偏好来评分。 媒体可以包括视频,电影,电视节目,书,音频记录,音乐相册和/或其他类型的数字媒体。

    Analyzing user reviews to determine entity attributes

    公开(公告)号:US10061767B1

    公开(公告)日:2018-08-28

    申请号:US15625711

    申请日:2017-06-16

    申请人: Google Inc.

    IPC分类号: G06F17/27

    CPC分类号: G06F17/278 G06F17/2785

    摘要: Methods and apparatus are described herein for classifying user reviews or portions thereof as being related to various entities, and for associating extracted descriptive segments of text contained in those user reviews or portions thereof with entities based on the classifications. In various implementations, one or more categories of observed user interest may be identified based on a corpus of user queries. One or more segments of text related to the one or more categories of observed user interest may be detected in one or more user reviews associated with a product. Based on the detecting, the product may be indexed on the one or more categories of observed user interest in a searchable database. In some implementations, the searchable database may be accessible to one or more remote client devices, and may be searchable by the one or more categories of observed user interest to provide search results to be rendered by the one or more remote client devices.

    Analyzing user reviews to determine entity attributes

    公开(公告)号:US09710456B1

    公开(公告)日:2017-07-18

    申请号:US14709455

    申请日:2015-05-11

    申请人: Google Inc.

    IPC分类号: G06F17/27

    CPC分类号: G06F17/278 G06F17/2785

    摘要: Methods and apparatus are described herein for classifying user reviews or portions thereof as being related to various entities, and for associating extracted descriptive segments of text contained in those user reviews or portions thereof with entities based on the classifications. In various implementations, one or more portions of a corpus of user reviews may be classified as being related to a first entity or a second entity. One or more descriptive segments of text may be extracted from the one or more classified portions. The one or more extracted descriptive segments of text may be associated with the first or second entity based on classifications of the one or more classified portions.