公开(公告)号：US20150217196A1

公开(公告)日：2015-08-06

申请号：US14169219

申请日：2014-01-31

Applicant: GOOGLE INC.

Inventor： Alexander Ruben Stacey McCarthy ,  Duncan John Curtis

IPC: A63F13/497

CPC classification number: A63F13/86 ,  A63F13/497 ,  A63F13/58 ,  A63F13/795 ,  H04N21/25 ,  H04N21/4781 ,  H04N21/8456 ,  H04N21/8549

Abstract: A video clip may be automatically generated from a gameplay recording based on an interest metric. The interest metric may be determined from a variety of sources, such as developer provided signals, platform-based signals, and reception signal. A machine learning technique may be applied to each of the signals individually and/or in aggregate (e.g., the interest metric) to ascertain a weighting scheme, for example, for each individual signal or the interest metric to improve the selection of portions of video from a gameplay recording.

Abstract translation: 可以基于感兴趣度量从游戏录制中自动生成视频剪辑。 兴趣度量可以从诸如开发者提供的信号，基于平台的信号和接收信号等各种来源确定。 机器学习技术可以单独地和/或聚合地（例如，兴趣度量）应用于每个信号，以确定加权方案，例如对于每个单独的信号或兴趣度量来改善视频部分的选择 从游戏录音。

公开(公告)号：US09734521B2

公开(公告)日：2017-08-15

申请号：US14207381

申请日：2014-03-12

Applicant: Google Inc.

Inventor： Duncan John Curtis ,  Alexander Ruben Stacey McCarthy

IPC: G07F19/00 ,  G06Q30/04

CPC classification number: G06Q30/04

Abstract: Systems, device and techniques are disclosed for receiving content based on a subscription to channel by a user. An indication of a user subscription, by a user, may be received. The subscription may be for a channel associated with a channel manager for the channel. An indication of a content to be provided via the channel may be received from the channel manager for the channel. A determination may be made that the content value associated with the content is below an available user subscription value. The content may be automatically provided to the user, based on the determination and the content value may be deducted from the available subscription value.

公开(公告)号：US20170169477A1

公开(公告)日：2017-06-15

申请号：US15442742

申请日：2017-02-27

Applicant: Google Inc.

Inventor： Duncan John Curtis ,  Alexander Ruben Stacey McCarthy

IPC: G06Q30/02

CPC classification number: G06Q30/0269 ,  G06Q30/02 ,  G06Q30/0242 ,  G06Q30/0255 ,  G06Q30/0276 ,  G06Q30/0282 ,  G06Q30/0613

Abstract: Implementations disclosed herein related to apportioning revenue to a content-creating user if that user's content assisted in the fulfillment of a purchase opportunity. User-generated content may be selected based on criteria, for example, that will likely lead to consummation of a purchase opportunity. Some of the revenue generated from the sale may be sent to the user whose content was associated with the sale. In this way, the user may be encouraged to generate more such content and be rewarded for the advertising the content provided.

公开(公告)号：US09352234B2

公开(公告)日：2016-05-31

申请号：US14212523

申请日：2014-03-14

Applicant: Google Inc.

Inventor： Duncan John Curtis ,  Alexander Ruben Stacey McCarthy

IPC: A63F13/12 ,  A63F13/798 ,  A63F13/795

CPC classification number: A63F13/798 ,  A63F13/795

Abstract: Systems, device and techniques are disclosed for rating a multiplayer videogame active player based on the retention of one or more qualifying players after their interaction with the active player. An interaction event between an active player and a qualifying player may be detected and a retention value based on the qualifying player returning to the multiplayer videogame may be determined. The active player may be rated based at least on the retention value of the qualifying player.

公开(公告)号：US09278288B2

公开(公告)日：2016-03-08

申请号：US14169219

申请日：2014-01-31

Applicant: Google Inc.

Inventor： Alexander Ruben Stacey McCarthy ,  Duncan John Curtis

IPC: A63F9/24 ,  A63F13/497 ,  A63F13/795 ,  A63F13/58 ,  H04N21/25 ,  H04N21/478 ,  H04N21/845 ,  H04N21/8549

CPC classification number: A63F13/86 ,  A63F13/497 ,  A63F13/58 ,  A63F13/795 ,  H04N21/25 ,  H04N21/4781 ,  H04N21/8456 ,  H04N21/8549

Abstract: A video clip may be automatically generated from a gameplay recording based on an interest metric. The interest metric may be determined from a variety of sources, such as developer provided signals, platform-based signals, and reception signal. A machine learning technique may be applied to each of the signals individually and/or in aggregate (e.g., the interest metric) to ascertain a weighting scheme, for example, for each individual signal or the interest metric to improve the selection of portions of video from a gameplay recording.

Abstract translation: 可以基于感兴趣度量从游戏录制中自动生成视频剪辑。 兴趣度量可以从诸如开发者提供的信号，基于平台的信号和接收信号等各种来源确定。 机器学习技术可以单独地和/或聚合地（例如，兴趣度量）应用于每个信号，以确定加权方案，例如对于每个单独的信号或兴趣度量来改善视频部分的选择 从游戏录音。