公开(公告)号：US20160055320A1

公开(公告)日：2016-02-25

申请号：US14466470

申请日：2014-08-22

Applicant: Yahoo! Inc.

Inventor： Pengyuan Wang ,  Jian Yang ,  Marsha Meytlis ,  Fei Yu

IPC: G06F19/00

CPC classification number: G16H15/00 ,  G16H50/70

Abstract: Methods, systems and programming for measuring user treatment effectiveness. First information related to activities of each user in a first user set in response to a first treatment is received. Second information related to activities of each user in a second user set in response to a second treatment is received. A model with respect to features is obtained based on the first and second information. Each user is associated with the features. A weighing factor for each user is estimated based on the model and each user's features. A first success rate is computed based on the first information and the weighting factors for each user in the first user set. A second success rate is computed based on the second information and the weighting factors for each user in the second user set. A metric of effectiveness is measured based on the first and second success rates.

Abstract translation: 测量用户治疗效果的方法，系统和程序。 接收与第一用户响应于第一处理的每个用户的活动有关的第一信息。 接收与第二用户响应于第二处理的每个用户的活动有关的第二信息。 基于第一和第二信息获得关于特征的模型。 每个用户与功能相关联。 根据模型和每个用户的特征估算每个用户的称重系数。 基于第一用户集合中的每个用户的第一信息和加权因子来计算第一成功率。 基于第二用户集合中的每个用户的第二信息和加权因子来计算第二成功率。 有效性的度量是根据第一个和第二个成功率来衡量的。

公开(公告)号：US20160350400A1

公开(公告)日：2016-12-01

申请号：US14410702

申请日：2014-11-25

Applicant: YAHOO! INC.

Inventor： Ling Zhu ,  Min He ,  Fei Yu ,  Minzhang Wei

IPC: G06F17/30 ,  G06N99/00

CPC classification number: G06F17/30616 ,  G06F17/30699 ,  G06F17/30705 ,  G06F17/30713 ,  G06N99/005 ,  H04L67/02

Abstract: Method, system, and programs for determining a keyword from user agent strings are disclosed. In one example, a plurality of user agent strings is received. The plurality of user agent strings is grouped into one or more clusters. The one or more clusters comprise a first cluster that includes two or more user agent strings. The two or more user agent strings in the first cluster are compared. Based on the comparing, a keyword is determined from the first cluster. The keyword represents a type of user agent information.

Abstract translation: 公开了用于从用户代理字符串确定关键字的方法，系统和程序。 在一个示例中，接收多个用户代理串。 多个用户代理串被分组成一个或多个集群。 一个或多个集群包括包括两个或更多个用户代理字符串的第一集群。 比较第一个集群中的两个或多个用户代理字符串。 基于比较，从第一个集群确定关键字。 该关键字表示一种用户代理信息。

公开(公告)号：US20160350355A1

公开(公告)日：2016-12-01

申请号：US14411136

申请日：2014-11-25

Applicant: Yahoo! Inc.

Inventor： Ling Zhu ,  Min He ,  Fei Yu ,  Minzhang Wei

IPC: G06F17/30

CPC classification number: G06F16/2365 ,  G06F16/334 ,  G06F16/90344 ,  G06F16/9535 ,  H04L67/02

Abstract: Method, system, and programs for analyzing user agent string are disclosed. In one example, a user agent string is received. A list of predefined keywords is obtained. Each of the predefined keywords is associated with a type of user agent information. One or more candidate keywords are extracted from the user agent string based on the list of predefined keywords. An extraction pattern is obtained for each of the one or more candidate keywords. A keyword is determined with a version from the one or more candidate keywords based, at least in part, on the extraction patterns for the one or more candidate keywords. The determined keyword with the version represents the type of user agent information in the received use agent string.

Abstract translation: 公开了用于分析用户代理字符串的方法，系统和程序。 在一个示例中，接收用户代理字符串。 获得预定义关键字的列表。 每个预定义的关键字与用户代理信息的类型相关联。 基于预定义关键字的列表，从用户代理字符串中提取一个或多个候选关键字。 为一个或多个候选关键字中的每一个获得提取模式。 至少部分地基于一个或多个候选关键词的提取模式，使用来自所述一个或多个候选关键字的版本来确定关键字。 确定的带有版本的关键字表示接收到的使用代理字符串中的用户代理信息的类型。