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公开(公告)号：US20220113996A1
公开(公告)日：2022-04-14
申请号：US17069637
申请日：2020-10-13
Applicant: Adobe Inc.
Inventor： Oliver Brdiczka , Robert Alley , Kyoung Tak Kim , Kevin Gary Smith , Aliakbar Darabi
Abstract: The present disclosure describes systems, non-transitory computer-readable media, and methods that intelligently sense digital user context across client devices applications utilizing a dynamic sensor graph framework and then utilize a persistent context store to generate flexible digital recommendations across digital applications. In one or more embodiments, the disclosed systems utilize triggers to select and activate one or more sensor graphs. These sensor graphs can include software sensors arranged according to an architecture of dependencies and subject to various constraints. The underlying architecture of dependencies and constraints in each sensor graph allows the disclosed systems to avoid race-conditions in persisting actionable user-context based signals, verify the validity of sensor output through the sensor graph, generate user-context based recommendations across multiple related applications, and accommodate a specific latency/refresh rate of context values.
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公开(公告)号：US11467857B2
公开(公告)日：2022-10-11
申请号：US17069637
申请日：2020-10-13
Applicant: Adobe Inc.
Inventor： Oliver Brdiczka , Robert Alley , Kyoung Tak Kim , Kevin Gary Smith , Aliakbar Darabi
Abstract: The present disclosure describes systems, non-transitory computer-readable media, and methods that intelligently sense digital user context across client devices applications utilizing a dynamic sensor graph framework and then utilize a persistent context store to generate flexible digital recommendations across digital applications. In one or more embodiments, the disclosed systems utilize triggers to select and activate one or more sensor graphs. These sensor graphs can include software sensors arranged according to an architecture of dependencies and subject to various constraints. The underlying architecture of dependencies and constraints in each sensor graph allows the disclosed systems to avoid race-conditions in persisting actionable user-context based signals, verify the validity of sensor output through the sensor graph, generate user-context based recommendations across multiple related applications, and accommodate a specific latency/refresh rate of context values.
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公开(公告)号：US12159151B2
公开(公告)日：2024-12-03
申请号：US17823811
申请日：2022-08-31
Applicant: Adobe Inc.
Inventor： Oliver Brdiczka , Robert Alley , Kyoung Tak Kim , Kevin Gary Smith , Aliakbar Darabi
Abstract: The present disclosure describes systems, non-transitory computer-readable media, and methods that intelligently sense digital user context across client devices applications utilizing a dynamic sensor graph framework and then utilize a persistent context store to generate flexible digital recommendations across digital applications. In one or more embodiments, the disclosed systems utilize triggers to select and activate one or more sensor graphs. These sensor graphs can include software sensors arranged according to an architecture of dependencies and subject to various constraints. The underlying architecture of dependencies and constraints in each sensor graph allows the disclosed systems to avoid race-conditions in persisting actionable user-context based signals, verify the validity of sensor output through the sensor graph, generate user-context based recommendations across multiple related applications, and accommodate a specific latency/refresh rate of context values.
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公开(公告)号：US20220413881A1
公开(公告)日：2022-12-29
申请号：US17823811
申请日：2022-08-31
Applicant: Adobe Inc.
Inventor： Oliver Brdiczka , Robert Alley , Kyoung Tak Kim , Kevin Gary Smith , Aliakbar Darabi
Abstract: The present disclosure describes systems, non-transitory computer-readable media, and methods that intelligently sense digital user context across client devices applications utilizing a dynamic sensor graph framework and then utilize a persistent context store to generate flexible digital recommendations across digital applications. In one or more embodiments, the disclosed systems utilize triggers to select and activate one or more sensor graphs. These sensor graphs can include software sensors arranged according to an architecture of dependencies and subject to various constraints. The underlying architecture of dependencies and constraints in each sensor graph allows the disclosed systems to avoid race-conditions in persisting actionable user-context based signals, verify the validity of sensor output through the sensor graph, generate user-context based recommendations across multiple related applications, and accommodate a specific latency/refresh rate of context values.
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