公开(公告)号：US08935194B2

公开(公告)日：2015-01-13

申请号：US13767695

申请日：2013-02-14

Applicant: Yahoo! Inc.

Inventor： Anirban Dasgupta ,  Liang Zhang ,  Maxim Gurevich ,  Achint Oommen Thomas ,  Belle Tseng

IPC: G06N5/02 ,  G06N7/00 ,  G06N99/00

CPC classification number: G06N99/005 ,  G06N7/005

Abstract: Embodiments are directed towards clustering cookies for identifying unique mobile devices for associating activities over a network with a given mobile device. The cookies are clustered based on a Bayes Factor similarity model that is trained from cookie features of known mobile devices. The clusters may be used to determine the number of unique mobile devices that access a website. The clusters may also be used to provide targeted content to each unique mobile device.

Abstract translation: 实施例针对用于识别用于将网络上的活动与给定移动设备相关联的唯一移动设备的聚类cookie。 基于由已知移动设备的cookie特征训练的贝叶斯因子相似性模型，cookie是聚类的。 群集可用于确定访问网站的唯一移动设备的数量。 集群也可以用于向每个唯一移动设备提供有针对性的内容。

公开(公告)号：US20130159227A1

公开(公告)日：2013-06-20

申请号：US13767695

申请日：2013-02-14

Applicant: Yahoo! Inc.

Inventor： Anirban Dasgupta ,  Liang Zhang ,  Maxim Gurevich ,  Achint Oommen Thomas ,  Belle Tseng

IPC: G06N99/00

CPC classification number: G06N99/005 ,  G06N7/005

Abstract: Embodiments are directed towards clustering cookies for identifying unique mobile devices for associating activities over a network with a given mobile device. The cookies are clustered based on a Bayes Factor similarity model that is trained from cookie features of known mobile devices. The clusters may be used to determine the number of unique mobile devices that access a website. The clusters may also be used to provide targeted content to each unique mobile device.

Abstract translation: 实施例针对用于识别用于将网络上的活动与给定移动设备相关联的唯一移动设备的聚类cookie。 基于由已知移动设备的cookie特征训练的贝叶斯因子相似性模型，cookie是聚类的。 群集可用于确定访问网站的唯一移动设备的数量。 集群也可以用于向每个唯一移动设备提供有针对性的内容。

公开(公告)号：US20170068805A1

公开(公告)日：2017-03-09

申请号：US14847742

申请日：2015-09-08

Applicant: Yahoo!, Inc.

Inventor： Manjana Chandrasekharan ,  Keiko Horiguchi ,  Amanda Joy Stent ,  Ricardo Alberto Baeza-Yates ,  Jeffrey Kuwano ,  Achint Oommen Thomas ,  Yi Chang

IPC: G06F21/32 ,  G06F3/16

CPC classification number: H04L63/083 ,  G06F3/165 ,  G06F3/167 ,  G06F21/31 ,  G06F2221/2133 ,  G10L17/06 ,  G10L21/003 ,  G10L25/51 ,  H04L9/3226

Abstract: One or more techniques and/or systems are provided for audio verification. An audio signal, comprising a code for user verification, may be identified. A second audio signal is created comprising speech. The audio signal and the second audio signal may be altered to comprise a same or similar volume, pitch, amplitude, and/or speech rate. The audio signal and the second audio signal may be combined to generate a verification audio signal. The verification audio signal may be presented to a user for the user verification. Verification may be performed to determine whether the user has access to content or a service based upon user input, obtained in response to the user verification audio signal, matching the code within the user verification audio signal. In an example, the user verification may comprise verifying that the user is human.

Abstract translation: 为音频验证提供一个或多个技术和/或系统。 可以识别包括用于用户验证的代码的音频信号。 创建包括语音的第二音频信号。 音频信号和第二音频信号可以改变为包括相同或相似的音量，音调，幅度和/或语音速率。 音频信号和第二音频信号可以被组合以产生验证音频信号。 验证音频信号可以被呈现给用户进行用户验证。 可以执行验证以基于用户验证音频信号而获得的用户输入来访问内容或服务，以匹配用户验证音频信号内的代码。 在一个示例中，用户验证可以包括验证用户是否是人。