公开(公告)号：US20140351343A1

公开(公告)日：2014-11-27

申请号：US14457483

申请日：2014-08-12

Applicant: Facebook, Inc.

Inventor： Thomas Scott Whitnah ,  Alexander Matthew Rush ,  Ding Zhou ,  Ruchi Sanghvi

IPC: H04L12/58 ,  H04L12/911 ,  G06F17/30

CPC classification number: H04L51/12 ,  G06F17/3053 ,  G06Q10/10 ,  H04L47/783 ,  H04L51/32 ,  H04L67/16 ,  H04L67/20 ,  H04L67/306 ,  H04L67/34

Abstract: Applications in social networks support interaction between members through various types of channels such as notifications, newsfeed, and so forth. For each channel, applications are ranked based on their user affinity measures. User affinity is based on measuring positive and negative interactions by users as both senders and recipients of messages generated by applications. Metrics are computed for the different types of messages and interactions provided by applications. For each channel, an application receives user affinity score based on specific weighted combination of the metrics. Applications use channel resources to send messages to increase their user base. Given the large number of applications that are available, the extent to which applications are allowed to use channels is controlled, limiting their resource consumption. User affinity scores of applications calculated for a channel are used to decide the allocation of channel resources for an application.

Abstract translation: 社交网络中的应用通过各种渠道（如通知，新闻馈送等）来支持成员之间的互动。 对于每个通道，应用程序根据用户亲和度测量进行排名。 用户关联性基于用户测量由应用程序生成的消息的发送者和收件人的正面和负面交互。 针对应用程序提供的不同类型的消息和交互计算度量。 对于每个渠道，应用程序根据指标的特定加权组合来接收用户关联度分数。 应用程序使用信道资源发送消息以增加用户群。 鉴于可用的大量应用程序，允许应用程序允许使用通道的程度受到控制，从而限制了其资源消耗。 用于为频道计算的应用程序的用户亲和度分数用于决定应用程序的信道资源分配。

公开(公告)号：US20180034758A1

公开(公告)日：2018-02-01

申请号：US15727395

申请日：2017-10-06

Applicant: Facebook, Inc.

Inventor： Thomas Scott Whitnah ,  Alexander Matthew Rush ,  Ding Zhou ,  Ruchi Sanghvi

IPC: H04L12/58 ,  H04L29/08 ,  G06Q10/10 ,  H04L12/911 ,  G06F17/30

CPC classification number: H04L51/12 ,  G06F16/24578 ,  G06Q10/10 ,  H04L47/783 ,  H04L51/32 ,  H04L67/16 ,  H04L67/20 ,  H04L67/306 ,  H04L67/34

Abstract: Applications in social networks support interaction between members through various types of channels such as notifications, newsfeed, and so forth. For each channel, applications are ranked based on their user affinity measures. User affinity is based on measuring positive and negative interactions by users as both senders and recipients of messages generated by applications. Metrics are computed for the different types of messages and interactions provided by applications. For each channel, an application receives user affinity score based on specific weighted combination of the metrics. Applications use channel resources to send messages to increase their user base. Given the large number of applications that are available, the extent to which applications are allowed to use channels is controlled, limiting their resource consumption. User affinity scores of applications calculated for a channel are used to decide the allocation of channel resources for an application.

公开(公告)号：US09832150B2

公开(公告)日：2017-11-28

申请号：US15006004

申请日：2016-01-25

Applicant: Facebook, Inc.

Inventor： Thomas Scott Whitnah ,  Alexander Matthew Rush ,  Ding Zhou ,  Ruchi Sanghvi

IPC: G06F15/173 ,  H04L12/58 ,  G06Q10/10 ,  H04L29/08 ,  G06F17/30 ,  H04L12/911

CPC classification number: H04L51/12 ,  G06F17/3053 ,  G06Q10/10 ,  H04L47/783 ,  H04L51/32 ,  H04L67/16 ,  H04L67/20 ,  H04L67/306 ,  H04L67/34

Abstract: Applications in social networks support interaction between members through various types of channels such as notifications, newsfeed, and so forth. For each channel, applications are ranked based on their user affinity measures. User affinity is based on measuring positive and negative interactions by users as both senders and recipients of messages generated by applications. Metrics are computed for the different types of messages and interactions provided by applications. For each channel, an application receives user affinity score based on specific weighted combination of the metrics. Applications use channel resources to send messages to increase their user base. Given the large number of applications that are available, the extent to which applications are allowed to use channels is controlled, limiting their resource consumption. User affinity scores of applications calculated for a channel are used to decide the allocation of channel resources for an application.

公开(公告)号：US20160142354A1

公开(公告)日：2016-05-19

申请号：US15006004

申请日：2016-01-25

Applicant: Facebook, Inc.

Inventor： Thomas Scott Whitnah ,  Alexander Matthew Rush ,  Ding Zhou ,  Ruchi Sanghvi

IPC: H04L12/58 ,  H04L29/08

CPC classification number: H04L51/12 ,  G06F17/3053 ,  G06Q10/10 ,  H04L47/783 ,  H04L51/32 ,  H04L67/16 ,  H04L67/20 ,  H04L67/306 ,  H04L67/34

Abstract: Applications in social networks support interaction between members through various types of channels such as notifications, newsfeed, and so forth. For each channel, applications are ranked based on their user affinity measures. User affinity is based on measuring positive and negative interactions by users as both senders and recipients of messages generated by applications. Metrics are computed for the different types of messages and interactions provided by applications. For each channel, an application receives user affinity score based on specific weighted combination of the metrics. Applications use channel resources to send messages to increase their user base. Given the large number of applications that are available, the extent to which applications are allowed to use channels is controlled, limiting their resource consumption. User affinity scores of applications calculated for a channel are used to decide the allocation of channel resources for an application.

公开(公告)号：US10402495B1

公开(公告)日：2019-09-03

申请号：US15694031

申请日：2017-09-01

Applicant: Facebook, Inc.

Inventor： Alexander Matthew Rush ,  Sumit Chopra ,  Jason Edward Weston

IPC: G06F17/27 ,  G10L25/30 ,  G10L15/197

Abstract: In one embodiment, a sequence of input words is received. Each of the input words is encoded as an indicator vector, wherein a sequence of the indicator vectors captures features of the sequence of input words. The sequence of the indicator vectors is then mapped to a distribution of a contextual probability of a first output word in a sequence of output words. For each subsequent output word, the sequence of the indicator vectors is encoded with a context, wherein the context comprises a previously mapped contextual probability distribution of a fixed window of previous output words; and the encoded sequence of the indicator vectors and the context is mapped to the distribution of the contextual probability of the subsequent output word. Finally, a condensed summary is generated using a decoder by maximizing the contextual probability of each of the output words.

公开(公告)号：US10389664B2

公开(公告)日：2019-08-20

申请号：US15727395

申请日：2017-10-06

Applicant: Facebook, Inc.

Inventor： Thomas Scott Whitnah ,  Alexander Matthew Rush ,  Ding Zhou ,  Ruchi Sanghvi

IPC: H04L12/58 ,  G06F16/2457 ,  G06Q10/10 ,  H04L29/08 ,  H04L12/911

Abstract: Applications in social networks support interaction between members through various types of channels such as notifications, newsfeed, and so forth. For each channel, applications are ranked based on their user affinity measures. User affinity is based on measuring positive and negative interactions by users as both senders and recipients of messages generated by applications. Metrics are computed for the different types of messages and interactions provided by applications. For each channel, an application receives user affinity score based on specific weighted combination of the metrics. Applications use channel resources to send messages to increase their user base. Given the large number of applications that are available, the extent to which applications are allowed to use channels is controlled, limiting their resource consumption. User affinity scores of applications calculated for a channel are used to decide the allocation of channel resources for an application.

公开(公告)号：US09276894B2

公开(公告)日：2016-03-01

申请号：US14457483

申请日：2014-08-12

Applicant: Facebook, Inc.

Inventor： Thomas Scott Whitnah ,  Alexander Matthew Rush ,  Ding Zhou ,  Ruchi Sanghvi

IPC: G06F15/173 ,  H04L12/58 ,  G06Q10/10 ,  H04L29/08 ,  G06F17/30 ,  H04L12/911

CPC classification number: H04L51/12 ,  G06F17/3053 ,  G06Q10/10 ,  H04L47/783 ,  H04L51/32 ,  H04L67/16 ,  H04L67/20 ,  H04L67/306 ,  H04L67/34

Abstract: Applications in social networks support interaction between members through various types of channels such as notifications, newsfeed, and so forth. For each channel, applications are ranked based on their user affinity measures. User affinity is based on measuring positive and negative interactions by users as both senders and recipients of messages generated by applications. Metrics are computed for the different types of messages and interactions provided by applications. For each channel, an application receives user affinity score based on specific weighted combination of the metrics. Applications use channel resources to send messages to increase their user base. Given the large number of applications that are available, the extent to which applications are allowed to use channels is controlled, limiting their resource consumption. User affinity scores of applications calculated for a channel are used to decide the allocation of channel resources for an application.

Abstract translation: 社交网络中的应用通过各种渠道（如通知，新闻馈送等）来支持成员之间的互动。 对于每个通道，应用程序根据用户亲和度测量进行排名。 用户关联性基于用户测量由应用程序生成的消息的发送者和收件人的正面和负面交互。 针对应用程序提供的不同类型的消息和交互计算度量。 对于每个渠道，应用程序根据指标的特定加权组合来接收用户关联度分数。 应用程序使用信道资源发送消息以增加用户群。 鉴于可用的大量应用程序，允许应用程序允许使用通道的程度受到控制，从而限制了其资源消耗。 用于为频道计算的应用程序的用户亲和度分数用于决定应用程序的信道资源分配。