公开(公告)号：US08984151B1

公开(公告)日：2015-03-17

申请号：US13759712

申请日：2013-02-05

Applicant: Google Inc.

Inventor： Sheng Chi Hsieh ,  Nicolaus Todd Mote ,  Sharon Lee

IPC: G06F15/16 ,  H04L12/24

CPC classification number: H04L63/10

Abstract: A server that manages download and/or distribution of content may collect content-related information associated with users, and classify the users based on that data. The content-related information may comprise data relating to content generation and/or upload by the users. The server may determine whether a user is granted permission to upload content for distribution or download via the server, based on correlating the user with a previously classified user, and/or on evaluation of current content generation or download activities associated with the user. Determination of whether the user is granted permission to upload content may be done directly and/or autonomously by the server. Alternatively, a recommendation whether to grant permission to upload content may be submitted by the server to another entity for selection thereby. The server may reject or accept a content upload request from the user based on the determination of whether the user is granted permission.

Abstract translation: 管理内容的下载和/或分发的服务器可以收集与用户相关联的内容相关信息，并且基于该数据对用户进行分类。 内容相关信息可以包括与用户的内容生成和/或上传有关的数据。 服务器可以基于将用户与先前分类的用户相关联和/或对与用户相关联的当前内容生成或下载活动进行评估，来确定是否允许用户上传内容以通过服务器分发或下载内容。 确定用户是否被授权上传内容可以由服务器直接和/或自主地完成。 或者，可以由服务器向另一个实体提交是否允许上传内容的建议，以供选择。 服务器可以基于是否授予用户的确定来拒绝或接受来自用户的内容上传请求。

公开(公告)号：US20140230053A1

公开(公告)日：2014-08-14

申请号：US13764290

申请日：2013-02-11

Applicant: Google Inc.

Inventor： Nicolaus Todd Mote ,  Sharon Lee

IPC: H04L29/06

CPC classification number: H04L63/12 ,  G06Q30/0282

Abstract: The present disclosure describes one or more systems, methods, routines and/or techniques for automatic detection of fraudulent ratings and/or comments related to an application store. The present disclosure describes various ways to differentiate fraudulent submissions (e.g., ratings, comments, reviews, etc.) from legitimate submissions, e.g., submissions by real users of an application. These various ways may be used to generate intermediate signals that may indicate that a submission is fraudulent. One or more intermediate signals may be automatically combined or aggregated to generate a detection conclusion for a submission. Once a fraudulent submission is detected, the present disclosure describes various ways to proceed (e.g., either automatically or manually), for example, the fraudulent submission may be ignored, or a person or account associated with the fraudulent submission may be penalized. The various descriptions provided herein should be read broadly to encompass various other services that accept user ratings and/or comments.

Abstract translation: 本公开描述了用于自动检测与应用商店相关的欺诈评级和/或评论的一个或多个系统，方法，例程和/或技术。 本公开描述了将欺诈性提交（例如，评级，评论，评论等）与合法提交（例如，应用程序的真实用户的提交）区分开的各种方式。 这些各种方式可用于产生可指示提交是欺诈性的中间信号。 一个或多个中间信号可以被自动组合或聚合以产生用于提交的检测结论。 一旦检测到欺诈提交，本公开描述了进行的各种方式（例如，自动地或手动地），例如，欺诈提交可以被忽略，或者与欺诈提交相关联的人或帐户可能受到惩罚。 本文中提供的各种描述应广泛阅读，以涵盖接受用户评级和/或评论的各种其他服务。

公开(公告)号：US09479516B2

公开(公告)日：2016-10-25

申请号：US13764290

申请日：2013-02-11

Applicant: Google Inc.

Inventor： Nicolaus Todd Mote ,  Sharon Lee

IPC: G06F11/00 ,  H04L29/06 ,  G06Q30/02

CPC classification number: H04L63/12 ,  G06Q30/0282

Abstract: The present disclosure describes one or more systems, methods, routines and/or techniques for automatic detection of fraudulent ratings and/or comments related to an application store. The present disclosure describes various ways to differentiate fraudulent submissions (e.g., ratings, comments, reviews, etc.) from legitimate submissions, e.g., submissions by real users of an application. These various ways may be used to generate intermediate signals that may indicate that a submission is fraudulent. One or more intermediate signals may be automatically combined or aggregated to generate a detection conclusion for a submission. Once a fraudulent submission is detected, the present disclosure describes various ways to proceed (e.g., either automatically or manually), for example, the fraudulent submission may be ignored, or a person or account associated with the fraudulent submission may be penalized. The various descriptions provided herein should be read broadly to encompass various other services that accept user ratings and/or comments.

Abstract translation: 本公开描述了用于自动检测与应用商店相关的欺诈评级和/或评论的一个或多个系统，方法，例程和/或技术。 本公开描述了将欺诈性提交（例如，评级，评论，评论等）与合法提交（例如，应用程序的真实用户的提交）区分开的各种方式。 这些各种方式可用于产生可指示提交是欺诈性的中间信号。 一个或多个中间信号可以被自动组合或聚合以产生用于提交的检测结论。 一旦检测到欺诈提交，本公开描述了进行的各种方式（例如，自动地或手动地），例如，欺诈提交可以被忽略，或者与欺诈提交相关联的人或帐户可能受到惩罚。 本文中提供的各种描述应广泛阅读，以涵盖接受用户评级和/或评论的各种其他服务。