公开(公告)号：US20160267525A1

公开(公告)日：2016-09-15

申请号：US14401601

申请日：2014-06-03

Applicant: YAHOO! INC.

Inventor： Zhangang Lin ,  Fei Peng ,  Xianen Qiu

IPC: G06Q30/02

CPC classification number: G06Q30/0246 ,  G06Q30/02

Abstract: Methods, systems, and programs are provided to determine event-level traffic quality for event(s) related to user interaction with online content (e.g., via a webpage, a mobile application, etc.). Data related to a current user event and past user events may be received, where such data may include information regarding a set of entities associated with each respective user event. A feature value set for the current user event is generated based on the information regarding the respective sets of entities associated with the current user event and the past user events. Based at least on such feature value set, a traffic quality score for the current user event may be determined, e.g., based on a weighted combination of elements of the feature value set. An entity-level traffic quality score for an entity may be determined based on event-level traffic quality scores of user events that involve that entity.

Abstract translation: 提供方法，系统和程序以确定与用户与在线内容（例如，通过网页，移动应用程序等）交互相关的事件的事件级别的流量质量。 可以接收与当前用户事件和过去用户事件相关的数据，其中这样的数据可以包括关于与每个相应用户事件相关联的一组实体的信息。 基于关于与当前用户事件和过去的用户事件相关联的各组实体的信息，生成针对当前用户事件设置的特征值。 至少基于这样的特征值集合，可以例如基于特征值集合的元素的加权组合来确定当前用户事件的交通质量得分。 可以基于涉及该实体的用户事件的事件级业务质量得分来确定实体的实体级业务质量得分。

公开(公告)号：US10115125B2

公开(公告)日：2018-10-30

申请号：US14401601

申请日：2014-06-03

Applicant: Yahoo! Inc.

Inventor： Zhangang Lin ,  Fei Peng ,  Xianen Qiu

IPC: G06Q30/00 ,  G06Q30/02

Abstract: Methods, systems, and programs are provided to determine event-level traffic quality for event(s) related to user interaction with online content (e.g., via a webpage, a mobile application, etc.). Data related to a current user event and past user events may be received, where such data may include information regarding a set of entities associated with each respective user event. A feature value set for the current user event is generated based on the information regarding the respective sets of entities associated with the current user event and the past user events. Based at least on such feature value set, a traffic quality score for the current user event may be determined, e.g., based on a weighted combination of elements of the feature value set. An entity-level traffic quality score for an entity may be determined based on event-level traffic quality scores of user events that involve that entity.