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公开(公告)号：US11694281B1
公开(公告)日：2023-07-04
申请号：US16921665
申请日：2020-07-06
Applicant: Meta Platforms, Inc.
Inventor： Honglei Liu , Hao Zhou , Seungwhan Moon , Bing Liu , Yulong Qiu , Daniel Chai , Pararth Paresh Shah , Xiaolei Li , Rajen Subba , Hu Xu
IPC: H04L51/52 , H04L51/18 , G06F16/9032 , G06F40/56 , G06F9/451
CPC classification number: H04L51/52 , G06F9/453 , G06F16/90332 , G06F40/56 , H04L51/18
Abstract: In one embodiment, a method includes receiving a user request from a client system associated with a user, generating a response to the user request which references one or more entities, generating a personalized recommendation based on the user request and the response, wherein the personalized recommendation references one or more of the entities of the response, and sending instructions for presenting the response and the personalized recommendation to the client system.
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公开(公告)号：US11388247B1
公开(公告)日：2022-07-12
申请号：US17035253
申请日：2020-09-28
Applicant: Meta Platforms, Inc.
Inventor： Piyush Khemka , Jivko Dobrev , Honglei Liu , Xiaolei Li
IPC: G06F15/173 , H04L67/55 , H04L67/53
Abstract: In one embodiment, a method includes receiving a user request to create a reminder from a client system associated with a user, wherein the user request does not specify an activation-condition for the reminder, determining one or more proactive activation-conditions for the reminder, storing the reminder in a reminder store, receiving one or more inputs associated with the user, determining a user context associated with the user based on the one or more inputs, determining the one or more proactive activation-conditions for the reminder are satisfied based on the user context, and sending instructions for presenting the reminder to the user to the client system responsive to determining the one or more proactive activation-conditions are satisfied.
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公开(公告)号：US11621937B1
公开(公告)日：2023-04-04
申请号：US16921665
申请日：2020-07-06
Applicant: Meta Platforms, Inc.
Inventor： Honglei Liu , Hao Zhou , Seungwhan Moon , Bing Liu , Yulong Qiu , Daniel Chai , Pararth Paresh Shah , Xiaolei Li , Rajen Subba , Hu Xu
IPC: H04L51/52 , H04L51/18 , G06F16/9032 , G06F40/56 , G06F9/451
Abstract: In one embodiment, a method includes receiving a user request from a client system associated with a user, generating a response to the user request which references one or more entities, generating a personalized recommendation based on the user request and the response, wherein the personalized recommendation references one or more of the entities of the response, and sending instructions for presenting the response and the personalized recommendation to the client system.
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公开(公告)号：US11595342B1
公开(公告)日：2023-02-28
申请号：US16921665
申请日：2020-07-06
Applicant: Meta Platforms, Inc.
Inventor： Honglei Liu , Hao Zhou , Seungwhan Moon , Bing Liu , Yulong Qiu , Daniel Chai , Pararth Paresh Shah , Xiaolei Li , Rajen Subba , Hu Xu
IPC: H04L51/52 , H04L51/18 , G06F16/9032 , G06F40/56 , G06F9/451
Abstract: In one embodiment, a method includes receiving a user request from a client system associated with a user, generating a response to the user request which references one or more entities, generating a personalized recommendation based on the user request and the response, wherein the personalized recommendation references one or more of the entities of the response, and sending instructions for presenting the response and the personalized recommendation to the client system.
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公开(公告)号：US11501081B1
公开(公告)日：2022-11-15
申请号：US16731304
申请日：2019-12-31
Applicant: META PLATFORMS, INC.
Inventor： Prince Gill , Honglei Liu , Wenhai Yang , Kshitiz Malik , Nanshu Wang , David Reiss
Abstract: Exemplary embodiments relate to methods, mediums, and systems for moving language models from a server to the client device. Such embodiments may be deployed in an environment where the server is not able to provide modeling services to the clients, such as an end-to-end encrypted (E2EE) environment. Several different techniques are described to address issues of size and complexity reduction, model architecture optimization, model training, battery power reduction, and latency reduction.
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Patent Agency Ranking
公开(公告)号：US11455555B1
公开(公告)日：2022-09-27
申请号：US16731321
申请日：2019-12-31
Applicant: META PLATFORMS, INC.
Inventor： Prince Gill , Honglei Liu , Wenhai Yang , Kshitiz Malik , Nanshu Wang , David Reiss
Abstract: Exemplary embodiments relate to methods, mediums, and systems for moving language models from a server to the client device. Such embodiments may be deployed in an environment where the server is not able to provide modeling services to the clients, such as an end-to-end encrypted (E2EE) environment. Several different techniques are described to address issues of size and complexity reduction, model architecture optimization, model training, battery power reduction, and latency reduction.
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公开(公告)号：US20250119480A1
公开(公告)日：2025-04-10
申请号：US18924094
申请日：2024-10-23
Applicant: Meta Platforms, Inc.
Inventor： Piyush Khemka , Jivko Dobrev , Honglei Liu , Xiaolei Li
Abstract: In one embodiment, a method includes receiving a user request from a first user to create a reminder at a client system, wherein the user request does not specify an activation-condition for the reminder, determining proactive activation-conditions for the reminder, determining whether the proactive activation-conditions for the reminder are satisfied based on user context associated with the first user, and presenting the reminder to the first user at the client system responsive to determining the proactive activation-conditions are satisfied.
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公开(公告)号：US11651451B1
公开(公告)日：2023-05-16
申请号：US16921665
申请日：2020-07-06
Applicant: Meta Platforms, Inc.
Inventor： Honglei Liu , Hao Zhou , Seungwhan Moon , Bing Liu , Yulong Qiu , Daniel Chai , Pararth Paresh Shah , Xiaolei Li , Rajen Subba , Hu Xu
IPC: H04L51/52 , H04L51/18 , G06F16/9032 , G06F40/56 , G06F9/451
CPC classification number: H04L51/52 , G06F9/453 , G06F16/90332 , G06F40/56 , H04L51/18
Abstract: In one embodiment, a method includes receiving a user request from a client system associated with a user, generating a response to the user request which references one or more entities, generating a personalized recommendation based on the user request and the response, wherein the personalized recommendation references one or more of the entities of the response, and sending instructions for presenting the response and the personalized recommendation to the client system.
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公开(公告)号：US11567788B1
公开(公告)日：2023-01-31
申请号：US17035253
申请日：2020-09-28
Applicant: Meta Platforms, Inc.
Inventor： Piyush Khemka , Jivko Dobrev , Honglei Liu , Xiaolei Li
IPC: G06F15/173 , G06F9/451 , G06N20/00 , H04L67/306 , H04L67/75 , H04L67/53 , H04L67/55 , G06F3/16
Abstract: In one embodiment, a method includes receiving a user request to create a reminder from a client system associated with a user, wherein the user request does not specify an activation-condition for the reminder, determining one or more proactive activation-conditions for the reminder, storing the reminder in a reminder store, receiving one or more inputs associated with the user, determining a user context associated with the user based on the one or more inputs, determining the one or more proactive activation-conditions for the reminder are satisfied based on the user context, and sending instructions for presenting the reminder to the user to the client system responsive to determining the one or more proactive activation-conditions are satisfied.
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公开(公告)号：US20220279051A1
公开(公告)日：2022-09-01
申请号：US17750035
申请日：2022-05-20
Applicant: Meta Platforms, Inc.
Inventor： Piyush Khemka , Jivko Dobrev , Honglei Liu , Xiaolei Li
Abstract: In one embodiment, a method includes receiving a user request from a first user to create a reminder at a client system, wherein the user request does not specify an activation-condition for the reminder, determining proactive activation-conditions for the reminder, determining whether the proactive activation-conditions for the reminder are satisfied based on user context associated with the first user, and presenting the reminder to the first user at the client system responsive to determining the proactive activation-conditions are satisfied.
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