公开(公告)号：US20140337425A1

公开(公告)日：2014-11-13

申请号：US13892850

申请日：2013-05-13

Applicant: GOOGLE INC.

Inventor： Kirill BURYAK ,  Andrew Swerdlow ,  Luke Hiro SWARTZ ,  Cibu Johny

IPC: H04L29/08

CPC classification number: H04L67/22 ,  G06Q50/01

Abstract: Social networking applications may provide an enhanced user experience by considering information regarding the language preference of a user as well as other signals. According to the implementations disclosed herein, one or more signals may be utilized to determine the language in which content may be displayed to a user of a social networking application or website. A first language preference for a user may be determined based on at least one signal. A second language preference may be determined for a social graph component of the social networking application based on at least one signal. The first language preference may be compared to the second language preference and a weighted value may be assigned to the social graph component. The social graph component of the social networking application may be presented based upon the weighted value assigned to the social graph component.

Abstract translation: 社交网络应用可以通过考虑关于用户的语言偏好以及其他信号的信息来提供增强的用户体验。 根据本文公开的实现方式，可以使用一个或多个信号来确定可以向社交网络应用或网站的用户显示内容的语言。 可以基于至少一个信号来确定用户的第一语言偏好。 可以基于至少一个信号来确定社交网络应用的社交图表组件的第二语言偏好。 可以将第一语言偏好与第二语言偏好进行比较，并且加权值可以被分配给社交图分量。 可以基于分配给社交图分量的加权值来呈现社交网络应用的社交图分量。

公开(公告)号：US20140335483A1

公开(公告)日：2014-11-13

申请号：US13892842

申请日：2013-05-13

Applicant: GOOGLE INC.

Inventor： Kirill BURYAK ,  Luke Hiro SWARTZ ,  Andrew SWERDLOW ,  Cibu JOHNY

IPC: G09B5/08

CPC classification number: G09B5/08 ,  G06Q50/01

Abstract: Social networking applications may be improved by incorporating a user's language proficiency to make content suggestions to the user. A language preference of a user, which may represent one of a plurality of signals, may be received. A signal may be, for example, an online activity of the user, a text generated or received by the user, or content requested by the user. At least one of the plurality of signals may be analyzed using a machine learning program. A machine learning program may be trained on data for a test group of users with a known language proficiency. A user-assigned language proficiency may be incorporated as a signal in training a machine learning program. The language proficiency of the user may be determined based upon the analysis of at least one of the plurality of signals. Content may be presented to the user based upon the language proficiency of the user.

Abstract translation: 可以通过结合用户的语言能力来向用户提供内容建议来改善社交网络应用。 可以接收可以表示多个信号之一的用户的语言偏好。 信号可以是例如用户的在线活动，由用户生成或接收的文本或用户请求的内容。 可以使用机器学习程序来分析多个信号中的至少一个。 机器学习程序可以针对具有已知语言能力的用户的测试组的数据进行培训。 用户指定的语言能力可以作为训练机器学习程序的信号。 可以基于对多个信号中的至少一个的分析来确定用户的语言能力。 内容可以基于用户的语言熟练度呈现给用户。