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.

Inventor： Li Wei ,  Kun Zhang ,  Yu He ,  Xinmei Cai

IPC: G06N5/00 ,  H04N21/2668 ,  G06N5/04 ,  H04N21/262 ,  H04N21/442 ,  H04N21/482 ,  G06F17/30

CPC classification number: H04N21/2668 ,  G06F17/30828 ,  G06N5/00 ,  G06N5/04 ,  H04N21/26258 ,  H04N21/44222 ,  H04N21/4826

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。

公开(公告)号：US09805378B1

公开(公告)日：2017-10-31

申请号：US13631084

申请日：2012-09-28

Applicant: Google Inc.

Inventor： Li Wei ,  James Vincent McFadden

IPC: G06Q30/02 ,  H04N21/25

CPC classification number: G06Q30/02 ,  H04N21/251 ,  H04N21/26233 ,  H04N21/4826

Abstract: A system receives a user request for a media item and identifies candidate media items for suggesting to the user with the media item. The system predicts a user consumption time for each candidate media item and selects a sub-set of the candidate media items that have higher predicted user consumption times. The system provides the requested media item with the sub-set of the candidate media items.

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.

Inventor： Li Wei ,  Kun Zhang ,  Yu He ,  Xinmei Cai

IPC: H04N21/2668 ,  G06N5/04 ,  H04N21/482 ,  G06F17/30 ,  H04N21/262 ,  H04N21/442

CPC classification number: H04N21/2668 ,  G06F16/735 ,  G06N5/00 ,  G06N5/04 ,  H04N21/26258 ,  H04N21/44222 ,  H04N21/4826

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。

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.

Inventor： Li Wei ,  Kun Zhang ,  Yu He ,  Xinmei Cai

IPC: H04N21/2668 ,  H04N21/482 ,  H04N21/442 ,  H04N21/262

CPC classification number: H04N21/2668 ,  G06F17/30828 ,  G06N5/00 ,  G06N5/04 ,  H04N21/26258 ,  H04N21/44222 ,  H04N21/4826

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。

公开(公告)号：US20170068870A1

公开(公告)日：2017-03-09

申请号：US14844178

申请日：2015-09-03

Applicant: Google Inc.

Inventor： Tancred Carl Johannes Lindholm ,  Johan Georg Granström ,  Li Wei ,  Yihua Chen

IPC: G06K9/46 ,  G06F17/30 ,  G06T1/00

CPC classification number: G06K9/00758 ,  G06F16/50 ,  G06F16/9038

Abstract: A system and computer program product are provided for improving the utility of video recommendations in a content system via de-duplication of highly similar thumbnail images. For each video added to an online content system, a thumbnail image is generated and stored. For each such thumbnail image a compressed representation is computed. During playback of a video, a set of related videos is generated. For each video in the set, the corresponding thumbnail image and its compressed representation are retrieved. A measure of visual distance is computed for each pair in the set of representations, and measures indicating excess similarity are identified. Similarity is reduced via selective removal of some of the representations. An identification of the thumbnail images and videos corresponding to the remaining representations is produced.

Abstract translation: 提供了一种系统和计算机程序产品，用于通过高度相似的缩略图图像的重复数据删除来改善内容系统中视频推荐的效用。 对于添加到在线内容系统的每个视频，生成并存储缩略图。 对于每个这样的缩略图，计算压缩表示。 在播放视频期间，生成一组相关视频。 对于集合中的每个视频，检索相应的缩略图图像及其压缩表示。 对该组表示中的每一对计算视觉距离的度量，并且识别指示超出相似性的度量。 通过选择性地删除一些表示来减少相似度。 产生与剩余表示相对应的缩略图像和视频的标识。