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    CATALOG QUALITY MANAGEMENT MODEL
    2.
    发明申请
    CATALOG QUALITY MANAGEMENT MODEL 有权

    公开(公告)号：US20220114632A1

    公开(公告)日：2022-04-14

    申请号：US17645592

    申请日：2021-12-22

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Cedric Le Stunff ,  Victor Cazin ,  Alexandre Coutelier ,  Lucas Munoz ,  Nicolas Rival

    IPC: G06Q30/06 ,  G06F16/28 ,  G06F16/2457 ,  G06F11/07 ,  G06Q10/06

    Abstract: In one example, a content catalog system may process a bulk set of errors to prioritize those errors that may benefit from manual review by a human error administrator. A catalog quality management sub-system of the content catalog system may receive an error output describing a catalog error for a product aspect of a product in a content catalog from an error detection module. The catalog quality management sub-system may categorize the catalog error by a degree of human interaction with an error fix determined from an error metric in the error output. The catalog quality management sub-system may apply an error fix to the catalog error based on the degree of human interaction.

    Catalog quality management model
    3.
    发明授权
    Catalog quality management model 有权

    公开(公告)号：US10262348B2

    公开(公告)日：2019-04-16

    申请号：US15149187

    申请日：2016-05-09

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Cedric Le Stunff ,  Victor Cazin ,  Alexandre Coutelier ,  Lucas Munoz ,  Nicolas Rival

    IPC: G06Q30/00 ,  G06Q30/06 ,  G06F17/30 ,  G06F11/07 ,  G06Q10/06

    Abstract: In one example, a content catalog system may process a bulk set of errors to prioritize those errors that may benefit from manual review by a human error administrator. A catalog quality management sub-system of the content catalog system may receive an error output describing a catalog error for a product aspect of a product in a content catalog from an error detection module. The catalog quality management sub-system may categorize the catalog error by a degree of human interaction with an error fix determined from an error metric in the error output. The catalog quality management sub-system may apply an error fix to the catalog error based on the degree of human interaction.

    ABUSIVE TRAFFIC DETECTION
    5.
    发明申请
    ABUSIVE TRAFFIC DETECTION 审中-公开

    公开(公告)号：US20180255088A1

    公开(公告)日：2018-09-06

    申请号：US15972986

    申请日：2018-05-07

    Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC

    Inventor： Victor Cazin ,  Nicolas Rival

    IPC: H04L29/06 ,  G06Q10/06 ,  G06Q30/00 ,  G06Q20/40 ,  G06F21/10

    CPC classification number: H04L63/1425 ,  G06F21/10 ,  G06F2221/0775 ,  G06Q10/06 ,  G06Q20/4016 ,  G06Q30/0185

    Abstract: Aspects of an abuse detection system for a web service include an abuse detection engine executing on a server. The abuse detection engine includes a pre-processing module for aggregating a data set for processing and analysis; a suspiciousness test module for identifying suspicious content owners and suspicious users; a graphing module for finding connections between suspicious content owners and suspicious users; an analysis module for determining which groups are constituted of fraudulent or abusive accounts; and a notification generation and output module for generating a list of abusive entities and a notification for output to at least one of: the abusive entity, a digital content distribution company associated with the abusive entity, and a legal department or other entity for further investigation or action. Additionally, royalties for content consumptions associated with abusive accounts may be held. Aspects of an abusive traffic detection method enable multi-account and multi-content owner fraud detection.

    Catalog quality management model
    6.
    发明授权
    Catalog quality management model 有权

    公开(公告)号：US11244366B2

    公开(公告)日：2022-02-08

    申请号：US16384213

    申请日：2019-04-15

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Cedric Le Stunff ,  Victor Cazin ,  Alexandre Coutelier ,  Lucas Munoz ,  Nicolas Rival

    IPC: G06Q30/00 ,  G06Q30/06 ,  G06F16/28 ,  G06F16/2457 ,  G06F11/07 ,  G06Q10/06

    Abstract: In one example, a content catalog system may process a bulk set of errors to prioritize those errors that may benefit from manual review by a human error administrator. A catalog quality management sub-system of the content catalog system may receive an error output describing a catalog error for a product aspect of a product in a content catalog from an error detection module. The catalog quality management sub-system may categorize the catalog error by a degree of human interaction with an error fix determined from an error metric in the error output. The catalog quality management sub-system may apply an error fix to the catalog error based on the degree of human interaction.

    Abusive traffic detection
    7.
    发明授权
    Abusive traffic detection 有权

    公开(公告)号：US10554679B2

    公开(公告)日：2020-02-04

    申请号：US15972986

    申请日：2018-05-07

    Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC

    Inventor： Victor Cazin ,  Nicolas Rival

    IPC: H04L29/06 ,  G06F21/10 ,  G06Q20/40 ,  G06Q10/06 ,  G06Q30/00

    Abstract: Aspects of an abuse detection system for a web service include an abuse detection engine executing on a server. The abuse detection engine includes a pre-processing module for aggregating a data set for processing and analysis; a suspiciousness test module for identifying suspicious content owners and suspicious users; a graphing module for finding connections between suspicious content owners and suspicious users; an analysis module for determining which groups are constituted of fraudulent or abusive accounts; and a notification generation and output module for generating a list of abusive entities and a notification for output to at least one of: the abusive entity, a digital content distribution company associated with the abusive entity, and a legal department or other entity for further investigation or action. Additionally, royalties for content consumptions associated with abusive accounts may be held. Aspects of an abusive traffic detection method enable multi-account and multi-content owner fraud detection.

    Abusive traffic detection
    9.
    发明授权
    Abusive traffic detection 有权

    公开(公告)号：US09967273B2

    公开(公告)日：2018-05-08

    申请号：US14739787

    申请日：2015-06-15

    Applicant: Microsoft Technology Licensing, LLC.

    Inventor： Victor Cazin ,  Nicolas Rival

    IPC: G06F11/00 ,  H04L29/06 ,  G06F21/10 ,  G06Q20/40 ,  G06Q10/06 ,  G06Q30/00

    CPC classification number: H04L63/1425 ,  G06F21/10 ,  G06F2221/0775 ,  G06Q10/06 ,  G06Q20/4016 ,  G06Q30/0185

    Abstract: Aspects of an abuse detection system for a web service include an abuse detection engine executing on a server. The abuse detection engine includes a pre-processing module for aggregating a data set for processing and analysis; a suspiciousness test module for identifying suspicious content owners and suspicious users; a graphing module for finding connections between suspicious content owners and suspicious users; an analysis module for determining which groups are constituted of fraudulent or abusive accounts; and a notification generation and output module for generating a list of abusive entities and a notification for output to at least one of: the abusive entity, a digital content distribution company associated with the abusive entity, and a legal department or other entity for further investigation or action. Additionally, royalties for content consumptions associated with abusive accounts may be held. Aspects of an abusive traffic detection method enable multi-account and multi-content owner fraud detection.

    ABUSIVE TRAFFIC DETECTION
    10.
    发明申请
    ABUSIVE TRAFFIC DETECTION 有权
    有效的交通检测

    公开(公告)号：US20160366168A1

    公开(公告)日：2016-12-15

    申请号：US14739787

    申请日：2015-06-15

    Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC.

    Inventor： Victor Cazin ,  Nicolas Rival

    IPC: H04L29/06 ,  G06Q20/40 ,  G06F21/10

    CPC classification number: H04L63/1425 ,  G06F21/10 ,  G06F2221/0775 ,  G06Q10/06 ,  G06Q20/4016 ,  G06Q30/0185

    Abstract: Aspects of an abuse detection system for a web service include an abuse detection engine executing on a server. The abuse detection engine includes a pre-processing module for aggregating a data set for processing and analysis; a suspiciousness test module for identifying suspicious content owners and suspicious users; a graphing module for finding connections between suspicious content owners and suspicious users; an analysis module for determining which groups are constituted of fraudulent or abusive accounts; and a notification generation and output module for generating a list of abusive entities and a notification for output to at least one of: the abusive entity, a digital content distribution company associated with the abusive entity, and a legal department or other entity for further investigation or action. Additionally, royalties for content consumptions associated with abusive accounts may be held. Aspects of an abusive traffic detection method enable multi-account and multi-content owner fraud detection.

    Abstract translation: Web服务的滥用检测系统的方面包括在服务器上执行的滥用检测引擎。 滥用检测引擎包括用于聚合用于处理和分析的数据集的预处理模块; 用于识别可疑内容所有者和可疑用户的可疑测试模块; 用于查找可疑内容所有者和可疑用户之间的连接的图形模块; 用于确定哪些组由欺诈或滥用帐户组成的分析模块; 以及用于生成滥用实体的列表的通知生成和输出模块以及用于输出到以下至少一个的通知：滥用实体，与滥用实体相关联的数字内容分发公司以及用于进一步调查的法律部门或其他实体 或行动。 此外，与滥用帐户相关的内容消费的版税可能会被保留。 滥用流量检测方法的方面使得多帐户和多内容所有者的欺诈检测成为可能。

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