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公开(公告)号：US12217306B2
公开(公告)日：2025-02-04
申请号：US17972134
申请日：2022-10-24
Applicant: Google LLC
Inventor： Ramesh Natarajan
Abstract: The present disclosure provides various transformations to be used in analysis of a large number of transactions to detect anomalies that would indicate potential fraudulent or criminal activity. Such transformations may be applied, for example, using a machine learning system. According to some examples, each of various transformations may be used to detect a particular type of behavioral anomaly. When multiple disparate transformations are considered together by the machine learning system, anomalous activity related to potential fraudulent or criminal activity can be detected more frequently and with greater accuracy.
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公开(公告)号：US20240362583A1
公开(公告)日：2024-10-31
申请号：US18307084
申请日：2023-04-26
Applicant: Google LLC
Inventor： Ramesh Natarajan , Wangyang Zhang , Julian Everett Robinson
IPC: G06Q10/087
CPC classification number: G06Q10/087
Abstract: A method for prioritizing inventory checks and audits includes receiving a plurality of product identifiers. Each respective product identifier of the plurality of product identifiers is associated with a respective product of a plurality of products. For each respective product identifier of the plurality of product identifiers, the method also includes predicting, using an inventory predictor model, a mixture probability distribution over possible quantities for the associated respective product, and generating, using the mixture probability distribution, a respective inventory confidence score. Here, the respective inventory confidence score indicates a confidence estimation of an actual inventory of the respective associated product. The method further includes selecting, using each respective inventory confidence score for each respective product, a list of candidate products from the plurality of products, the list of candidate products ordering the candidate products based on an uncertainty of the actual inventory of the respective candidate product.
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公开(公告)号：US20230137892A1
公开(公告)日：2023-05-04
申请号：US17972134
申请日：2022-10-24
Applicant: Google LLC
Inventor： Ramesh Natarajan
Abstract: The present disclosure provides various transformations to be used in analysis of a large number of transactions to detect anomalies that would indicate potential fraudulent or criminal activity. Such transformations may be applied, for example, using a machine learning system. According to some examples, each of various transformations may be used to detect a particular type of behavioral anomaly. When multiple disparate transformations are considered together by the machine learning system, anomalous activity related to potential fraudulent or criminal activity can be detected more frequently and with greater accuracy.
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