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公开(公告)号:US12242322B2
公开(公告)日:2025-03-04
申请号:US18243338
申请日:2023-09-07
Applicant: Google LLC
Inventor: Alexander Varshavsky , Bhaskar Mehta , Brian Coopersmith , Giovanni Botta
IPC: G06F1/3234 , G06F1/3209 , G06N20/00 , H04W8/10 , H04W60/04
Abstract: The present disclosure provides a system for intelligently sampling information, such as location, activities, etc. on device. Sampling and uploading of background context is optimized using machine learning, such that battery usage is reduced, and quality of metrics based on the reported information is maintained or improved. A policy is generated based on the machine learning, the policy dictating how scanning and upload rates should change in response to conditions on the device.
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公开(公告)号:US20230050146A1
公开(公告)日:2023-02-16
申请号:US17975042
申请日:2022-10-27
Applicant: Google LLC
Inventor: Alexander Varshavsky , Bhaskar Mehta , Brian Coopersmith , Giovanni Botta
IPC: G06F1/3234 , G06N20/00 , G06F1/3209 , H04W8/10 , H04W60/04
Abstract: The present disclosure provides a system for intelligently sampling information, such as location, activities, etc. on device. Sampling and uploading of background context is optimized using machine learning, such that battery usage is reduced, and quality of metrics based on the reported information is maintained or improved. A policy is generated based on the machine learning, the policy dictating how scanning and upload rates should change in response to conditions on the device.
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公开(公告)号:US20200019228A1
公开(公告)日:2020-01-16
申请号:US16496225
申请日:2017-12-29
Applicant: Google LLC
Inventor: Alexander Varshavsky , Bhaskar Mehta , Brian Coopersmith , Giovanni Botta
IPC: G06F1/3234 , H04W60/04 , G06N20/00 , G06F1/3209 , H04W8/10
Abstract: The present disclosure provides a system for intelligently sampling information, such as location, activities, etc. on device. Sampling and uploading of background context is optimized using machine learning, such that battery usage is reduced, and quality of metrics based on the reported information is maintained or improved. A policy is generated based on the machine learning, the policy dictating how scanning and upload rates should change in response to conditions on the device.
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公开(公告)号:US20230418357A1
公开(公告)日:2023-12-28
申请号:US18243338
申请日:2023-09-07
Applicant: Google LLC
Inventor: Alexander Varshavsky , Bhaskar Mehta , Brian Coopersmith , Giovanni Botta
IPC: G06F1/3234 , G06N20/00 , G06F1/3209 , H04W8/10 , H04W60/04
CPC classification number: G06F1/3234 , G06N20/00 , G06F1/3209 , H04W8/10 , H04W60/04 , H04M2242/30
Abstract: The present disclosure provides a system for intelligently sampling information, such as location, activities, etc. on device. Sampling and uploading of background context is optimized using machine learning, such that battery usage is reduced, and quality of metrics based on the reported information is maintained or improved. A policy is generated based on the machine learning, the policy dictating how scanning and upload rates should change in response to conditions on the device.
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公开(公告)号:US11782496B2
公开(公告)日:2023-10-10
申请号:US17975042
申请日:2022-10-27
Applicant: Google LLC
Inventor: Alexander Varshavsky , Bhaskar Mehta , Brian Coopersmith , Giovanni Botta
IPC: G06F1/3234 , G06N20/00 , G06F1/3209 , H04W8/10 , H04W60/04
CPC classification number: G06F1/3234 , G06F1/3209 , G06N20/00 , H04W8/10 , H04W60/04 , H04M2242/30
Abstract: The present disclosure provides a system for intelligently sampling information, such as location, activities, etc. on device. Sampling and uploading of background context is optimized using machine learning, such that battery usage is reduced, and quality of metrics based on the reported information is maintained or improved. A policy is generated based on the machine learning, the policy dictating how scanning and upload rates should change in response to conditions on the device.
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公开(公告)号:US11507172B2
公开(公告)日:2022-11-22
申请号:US16496225
申请日:2017-12-29
Applicant: Google LLC
Inventor: Alexander Varshavsky , Bhaskar Mehta , Brian Coopersmith , Giovanni Botta
IPC: G06F1/3234 , G06N20/00 , G06F1/3209 , H04W8/10 , H04W60/04
Abstract: The present disclosure provides a system for intelligently sampling information, such as location, activities, etc. on device. Sampling and uploading of background context is optimized using machine learning, such that battery usage is reduced, and quality of metrics based on the reported information is maintained or improved. A policy is generated based on the machine learning, the policy dictating how scanning and upload rates should change in response to conditions on the device.
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