Video recommendation based on video co-occurrence statistics
    1.
    发明授权
    Video recommendation based on video co-occurrence statistics 有权
    基于视频同步统计的视频推荐

    公开(公告)号:US09479811B2

    公开(公告)日:2016-10-25

    申请号:US14490542

    申请日:2014-09-18

    Applicant: Google Inc.

    Abstract: A system and method provides video recommendations for a target video in a video sharing environment. The system selects one or more videos that are on one or more video playlists together with the target video. The video co-occurrence data of the target video associates the target video and another video on one or more same video playlists and frequency of the target video and another video on the video playlists is computed. Based on the video co-occurrence data of the target video, one or more co-occurrence videos are selected and ranked based on the video co-occurrence data of the target video. The system selects one or more videos from the co-occurrence videos as video recommendations for the target video.

    Abstract translation: 系统和方法在视频共享环境中为目标视频提供视频推荐。 该系统与目标视频一起选择一个或多个视频播放列表上的一个或多个视频。 目标视频的视频同现数据在一个或多个相同的视频播放列表上将目标视频和另一视频相关联,并且计算目标视频的频率和视频播放列表上的另一视频。 基于目标视频的视频同现数据,基于目标视频的视频同现数据来选择和排列一个或多个同现视频。 该系统从共同视频中选择一个或多个视频作为目标视频的视频推荐。

    Video Recommendation Based on Video Co-Occurrence Statistics
    2.
    发明申请
    Video Recommendation Based on Video Co-Occurrence Statistics 审中-公开
    基于视频共同发生统计的视频推荐

    公开(公告)号:US20170013297A1

    公开(公告)日:2017-01-12

    申请号:US15276605

    申请日:2016-09-26

    Applicant: Google Inc.

    Abstract: A system and method provides video recommendations for a target video in a video sharing environment. The system selects one or more videos that are on one or more video playlists together with the target video. The video co-occurrence data of the target video associates the target video and another video on one or more same video playlists and frequency of the target video and another video on the video playlists is computed. Based on the video co-occurrence data of the target video, one or more co-occurrence videos are selected and ranked based on the video co-occurrence data of the target video. The system selects one or more videos from the co-occurrence videos as video recommendations for the target video.

    Abstract translation: 系统和方法在视频共享环境中为目标视频提供视频推荐。 该系统与目标视频一起选择一个或多个视频播放列表上的一个或多个视频。 目标视频的视频同现数据在一个或多个相同的视频播放列表上将目标视频和另一视频相关联,并且计算目标视频的频率和视频播放列表上的另一视频。 基于目标视频的视频同现数据,基于目标视频的视频同现数据来选择和排列一个或多个同现视频。 该系统从共同视频中选择一个或多个视频作为目标视频的视频推荐。

    VIDEO RECOMMENDATION BASED ON VIDEO CO-OCCURRENCE STATISTICS
    3.
    发明申请
    VIDEO RECOMMENDATION BASED ON VIDEO CO-OCCURRENCE STATISTICS 有权
    基于视频合作统计的视频推荐

    公开(公告)号:US20150012926A1

    公开(公告)日:2015-01-08

    申请号:US14490542

    申请日:2014-09-18

    Applicant: Google Inc.

    Abstract: A system and method provides video recommendations for a target video in a video sharing environment. The system selects one or more videos that are on one or more video playlists together with the target video. The video co-occurrence data of the target video associates the target video and another video on one or more same video playlists and frequency of the target video and another video on the video playlists is computed. Based on the video co-occurrence data of the target video, one or more co-occurrence videos are selected and ranked based on the video co-occurrence data of the target video. The system selects one or more videos from the co-occurrence videos as video recommendations for the target video.

    Abstract translation: 系统和方法在视频共享环境中为目标视频提供视频推荐。 该系统与目标视频一起选择一个或多个视频播放列表上的一个或多个视频。 目标视频的视频同现数据在一个或多个相同的视频播放列表上将目标视频和另一视频相关联,并且计算目标视频的频率和视频播放列表上的另一视频。 基于目标视频的视频同现数据,基于目标视频的视频同现数据来选择和排列一个或多个同现视频。 该系统从共同视频中选择一个或多个视频作为目标视频的视频推荐。

    System and method for indicating a selected feature of an interactive digital map
    4.
    发明授权
    System and method for indicating a selected feature of an interactive digital map 有权
    用于指示交互式数字地图的所选特征的系统和方法

    公开(公告)号:US09158414B1

    公开(公告)日:2015-10-13

    申请号:US14015221

    申请日:2013-08-30

    Applicant: GOOGLE INC.

    CPC classification number: G06F3/0418 G06F3/04842 G06F3/0488

    Abstract: A radius parameter may be included with mapping data requests resulting from “longpress” fingertip selection actions on client computing devices including touch screen display interfaces. The radius parameter may be based on the approximate size of a user's finger in pixels. Based on a current zoom level and/or altitude and a latitude, the radius may be used with a finger tip size to determine how far away a location on the screen from the finger tip center is. A remote mapping server may use the radius as a distance limit for performing a snapping action. For example, if the best candidate for a feature snap is outside the range of the longpress radius, then the feature snap may be abandoned, and the remote mapping server returns a dropped pin response to the client. The user may then customize the dropped pin for sharing or other actions.

    Abstract translation: 在包括触摸屏显示界面的客户端计算设备上的“长时间”指尖选择动作产生的映射数据请求中可以包括半径参数。 半径参数可以基于用户手指的大致尺寸(以像素为单位)。 基于当前的缩放级别和/或高度和纬度,可以使用指尖尺寸来使用半径,以确定屏幕上与指尖中心的位置距离多远。 远程映射服务器可以将半径用作执行捕捉动作的距离限制。 例如,如果特征快照的最佳候选者超出了长半径的范围,则可以放弃特征快照,并且远程映射服务器向客户端返回删除的引脚响应。 然后,用户可以自定义丢弃的引脚以进行共享或其他动作。

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