公开(公告)号：US09465435B1

公开(公告)日：2016-10-11

申请号：US13975974

申请日：2013-08-26

Applicant: Google Inc.

Inventor： Kun Zhang ,  Yu He

IPC: G06F3/01 ,  H04N21/25 ,  H04N21/258 ,  H04N21/422 ,  H04N21/4223 ,  H04N21/45 ,  H04N21/658 ,  H04N21/845 ,  H04N21/8549

CPC classification number: H04N21/44222 ,  G06F3/01 ,  H04N21/252 ,  H04N21/25883 ,  H04N21/42201 ,  H04N21/42202 ,  H04N21/42203 ,  H04N21/4223 ,  H04N21/4312 ,  H04N21/4345 ,  H04N21/44 ,  H04N21/4532 ,  H04N21/6582 ,  H04N21/8456 ,  H04N21/8549

Abstract: Systems and methods for segmenting a video based on user engagement in respective segments of the video are presented. In one or more aspects, a system is provided that includes an engagement component configured to receive information regarding respective engagement of a plurality of users in connection with respective segments of a video. The system further includes an analysis component configured to analyze the information and calculate user engagement scores for the respective video segments, wherein the user engagement scores reflect level of the plurality of users' interest regarding the respective video segments, and an identification component configured to identify a subset of the video segments associated with relatively higher user engagement scores in comparison to other video segments.

Abstract translation: 呈现了基于视频的相应段中的用户参与来分割视频的系统和方法。 在一个或多个方面，提供了一种系统，其包括接合部件，所述接合部件被配置为接收关于与视频的相应部分相关联的多个用户的相关联的信息。 该系统还包括一个分析部件，被配置为分析各个视频段的信息并计算用户参与度分数，其中用户参与度分数反映了多个用户对各个视频段的兴趣的水平，以及被配置为识别 与其他视频片段相比，与相对较高的用户参与度分数相关联的视频片段的子集。

公开(公告)号：US09424320B2

公开(公告)日：2016-08-23

申请号：US14694876

申请日：2015-04-23

Applicant: Google Inc.

Inventor： Aditee Kumthekar ,  Yu He ,  Kevin Patrick Murphy

IPC: G06F17/30 ,  H04N21/442 ,  H04N21/482

CPC classification number: G06F17/3053 ,  G06F17/30023 ,  G06F17/30823 ,  G06F17/30864 ,  H04N21/442 ,  H04N21/4826 ,  H04N21/4828

Abstract: Mechanisms are provided that: identify topics associated with a plurality of pieces of media content presented in a session; calculate a distance metric for pairs of topics, wherein each of the pairs of topics includes a first topic associated with a first piece of media content and a second topic associated with a second piece of media content, and wherein the second piece of media content was presented within a given span of the presentation of the first piece of media content; for each first topic of the pairs of topics, generate a rank-ordered list for all corresponding second topics; for each of the plurality of pieces of media content, generate a single rank-ordered list of all second topics; and for each of the plurality of pieces of media content, identify one or more other pieces of media content as recommended media content based on the single rank-ordered list.

Abstract translation: 提供了以下机制：识别与会话中呈现的多个媒体内容相关联的主题; 计算主题对的距离度量，其中每对主题包括与第一媒体内容相关联的第一主题和与第二媒体内容相关联的第二主题，并且其中第二媒体内容是 在第一段媒体内容的给定范围内呈现; 对于主题对中的每个第一主题，为所有相应的第二主题生成排序列表; 对于所述多个媒体内容中的每一个，生成所有第二主题的单个排序列表; 并且对于多个媒体内容中的每一个，基于单个排序列表，将一个或多个其他的媒体内容片段标识为推荐的媒体内容。

公开(公告)号：US08856111B1

公开(公告)日：2014-10-07

申请号：US13914069

申请日：2013-06-10

Applicant: Google Inc.

Inventor： Daniel J. Clancy ,  Cristos J. Goodrow ,  Yu He ,  Kun Zhang

IPC: G06F17/30

CPC classification number: G06F17/3053 ,  G06F17/30029 ,  H04N21/252 ,  H04N21/4782

Abstract: Recommendations for a media item associated with a primary entity are based on co-interaction information gathered from other media content items of several different media types that are also associated with the primary entity. Co-interaction information can include, for example, co-click data for websites, co-watch data for videos, or co-purchase data for purchases. The co-interaction data is processed to determine a co-interaction score between primary media items and secondary media items. From the co-interaction scores, secondary entities associated with the secondary media items are determined. A relatedness score is determined for these secondary entities based on the aggregation of the co-interaction scores of the secondary media items they are associated with. The relatedness score indicates a determination of how related one entity is to another. The secondary entities are ranked according to relatedness score in order to determine secondary entities most relevant to the primary entity.

Abstract translation: 与主要实体相关联的媒体项目的建议基于从也与主要实体相关联的若干不同媒体类型的其他媒体内容项目收集的共同交互信息。 共同互动信息可以包括例如用于网站的共同点击数据，共同观看视频数据或共同购买用于购买的数据。 处理共同交互数据以确定主要媒体项目和次要媒体项目之间的共同交互评分。 从共同互动评分中确定与次要媒体项目相关联的辅助实体。 基于与它们相关联的二级媒体项目的共同交互得分的聚合，确定这些次级实体的相关性得分。 相关性分数表示确定一个实体与另一个实体的关联。 次要实体根据相关性得分进行排名，以确定与主要实体最相关的次级实体。