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公开(公告)号:US11657326B2
公开(公告)日:2023-05-23
申请号:US16994976
申请日:2020-08-17
Applicant: Oath Inc.
Inventor: Shengjun Pan , Tian Zhou , Brendan Kitts , Hao He , Bharatbhushan Shetty , Djordje Gligorijevic , Junwei Pan , Tingyu Mao , San Gultekin , Balaji Srinivasa Rao Paladugu , Jianlong Zhang , Sneha Thomas , Aaron Flores
IPC: G06Q30/00 , G06N20/00 , G06N5/04 , G06Q30/0273 , G06Q30/02
CPC classification number: G06N20/00 , G06N5/04 , G06Q30/0275
Abstract: Shaded bid values may be determined and/or submitted to one or more auction modules for participation in auctions. Auction information including at least one of impression indications associated with the auctions, sets of features associated with the auctions, the shaded bid values associated with the auctions, etc. may be stored in a database. A machine learning model may be trained using the auction information to generate a first machine learning model with feature parameters associated with features. A bid request, indicative of a second set of features, may be received. The first machine learning model may be used to determine win probabilities and/or expected bid surpluses associated with multiple shaded bid values based upon one or more feature parameters, of the feature parameters, associated with the second set of features. A shaded bid value for submission may be determined based upon the win probabilities and/or the expected bid surpluses.
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公开(公告)号:US20200351291A1
公开(公告)日:2020-11-05
申请号:US16935038
申请日:2020-07-21
Applicant: Oath Inc.
Inventor: Liang Wang , Xianen Qiu , Liang Peng , Jianlong Zhang
Abstract: One or more computing devices, systems, and/or methods for assessing riskiness of a domain are provided. For example, a content request is received from a content provider service that hosts a website associated with a domain. The content request is evaluated to identify request features. Feature scores are assigned to the request features using labeled feature data. The feature scores are aggregated to generate a content request risk score corresponding to a riskiness of the content request corresponding to fraud, such as domain spoofing. The content request risk score along with other content request risk scores of content requests associated with the content provider service are aggregated to create a content provider risk score corresponding to a riskiness of the content provider service, such as a risk of the domain being fraudulent. The content provider risk score is used to either block or process the content request.
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公开(公告)号:US11729191B2
公开(公告)日:2023-08-15
申请号:US16935038
申请日:2020-07-21
Applicant: Oath Inc.
Inventor: Liang Wang , Xianen Qiu , Liang Peng , Jianlong Zhang
CPC classification number: H04L63/1425 , G06Q30/08 , H04L63/10
Abstract: One or more computing devices, systems, and/or methods for assessing riskiness of a domain are provided. For example, a content request is received from a content provider service that hosts a website associated with a domain. The content request is evaluated to identify request features. Feature scores are assigned to the request features using labeled feature data. The feature scores are aggregated to generate a content request risk score corresponding to a riskiness of the content request corresponding to fraud, such as domain spoofing. The content request risk score along with other content request risk scores of content requests associated with the content provider service are aggregated to create a content provider risk score corresponding to a riskiness of the content provider service, such as a risk of the domain being fraudulent. The content provider risk score is used to either block or process the content request.
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公开(公告)号:US10721255B2
公开(公告)日:2020-07-21
申请号:US15946190
申请日:2018-04-05
Applicant: Oath Inc.
Inventor: Liang Wang , Xianen Qiu , Liang Peng , Jianlong Zhang
Abstract: One or more computing devices, systems, and/or methods for assessing riskiness of a domain are provided. For example, a content request is received from a content provider service that hosts a website associated with a domain. The content request is evaluated to identify request features. Feature scores are assigned to the request features using labeled feature data. The feature scores are aggregated to generate a content request risk score corresponding to a riskiness of the content request corresponding to fraud, such as domain spoofing. The content request risk score along with other content request risk scores of content requests associated with the content provider service are aggregated to create a content provider risk score corresponding to a riskiness of the content provider service, such as a risk of the domain being fraudulent. The content provider risk score is used to either block or process the content request.
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公开(公告)号:US20190312897A1
公开(公告)日:2019-10-10
申请号:US15946190
申请日:2018-04-05
Applicant: Oath Inc.
Inventor: Liang Wang , Xianen Qiu , Liang Peng , Jianlong Zhang
Abstract: One or more computing devices, systems, and/or methods for assessing riskiness of a domain are provided. For example, a content request is received from a content provider service that hosts a website associated with a domain. The content request is evaluated to identify request features. Feature scores are assigned to the request features using labeled feature data. The feature scores are aggregated to generate a content request risk score corresponding to a riskiness of the content request corresponding to fraud, such as domain spoofing. The content request risk score along with other content request risk scores of content requests associated with the content provider service are aggregated to create a content provider risk score corresponding to a riskiness of the content provider service, such as a risk of the domain being fraudulent. The content provider risk score is used to either block or process the content request.
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