公开(公告)号：US20160350800A1

公开(公告)日：2016-12-01

申请号：US14761043

申请日：2015-05-29

Applicant: Yahoo! Inc.

Inventor： Angus Xianen Qiu ,  Haiyang Xu ,  Zhangang Lin

IPC: G06Q30/02

CPC classification number: G06Q30/0248 ,  G06Q30/0277

Abstract: The present teaching, which includes methods, systems and computer-readable media, relates to detecting online coalition fraud. The disclosed techniques may include grouping visitors that interact with online content into clusters, obtaining traffic features for each visitor, wherein the traffic features are based at least on data representing the corresponding visitor's interaction with the online content; determining, for each cluster, cluster metrics based on (one or more statistical values of) the traffic features of the visitors in that cluster; and determining whether a cluster is fraudulent based on the cluster metrics of the first cluster. For example, determining whether a cluster is fraudulent may include determining whether a first statistical value of the traffic features related to the first cluster is greater than a first threshold value, and/or determining whether a second statistical value of the traffic features related to the first cluster is lower than a second threshold value.

Abstract translation: 目前的教学，包括方法，系统和计算机可读介质，涉及检测在线联盟欺诈。 所公开的技术可以包括将与在线内容交互的访问者分组到群集中，为每个访问者获取流量特征，其中流量特征至少基于表示相应访问者与在线内容的交互的数据; 基于（一个或多个统计值）为该群集中的访问者的流量特征确定每个群集的群集度量; 以及基于所述第一集群的集群度量来确定集群是否是欺诈性的。 例如，确定集群是否具有欺诈性，可以包括确定与第一集群相关的业务特征的第一统计值是否大于第一阈值，和/或确定业务特征的第二统计值是否与 第一簇低于第二阈值。

公开(公告)号：US20160350815A1

公开(公告)日：2016-12-01

申请号：US14761060

申请日：2015-05-29

Applicant: YAHOO! Inc.

Inventor： Angus Xianen Qiu ,  Haiyang Xu ,  Zhangang Lin

IPC: G06Q30/02 ,  G06F17/30

CPC classification number: G06Q30/0277 ,  G06Q30/0248

Abstract: The present teaching, which includes methods, systems and computer-readable media, relates to providing a representation of a relationship between entities related to online content interaction. The disclosed techniques may include receiving data related to online content interactions between a set of first entities and a set of second entities, and based on the received data, determining, for each one of the set of first entities, a set of first interaction frequency values each corresponding to one of the set of second entities, and determining, for each one of the set of second entities, a second interaction frequency value. Further, for each one of the set of first entities, a set of relation values may be determined based on the set of first interaction frequency values for that first entity and the second interaction frequency values, each relation value indicating an interaction relationship between that first entity and one second entity.

Abstract translation: 包括方法，系统和计算机可读介质的本教导涉及提供与在线内容交互相关的实体之间的关系的表示。 所公开的技术可以包括接收与一组第一实体和一组第二实体之间的在线内容交互有关的数据，并且基于所接收的数据，为该组第一实体中的每一个确定一组第一交互频率 每个对应于该组第二实体中的一个的值，以及为该组第二实体中的每一个确定第二相互作用频率值。 此外，对于该组第一实体中的每一个，可以基于该第一实体的第一相互作用频率值集合和第二相互作用频率值来确定一组关系值，每个关系值表示该第一实体之间的相互作用关系 实体和一个第二实体。