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公开(公告)号：US11322140B2
公开(公告)日：2022-05-03
申请号：US16530660
申请日：2019-08-02
Applicant: Google LLC
Inventor： Vikram Aggarwal , Yew Jin Lim , Adam Goldstein
Abstract: Methods, apparatus, and computer readable media related to soliciting feedback from a user regarding one or more content parameters of a suggestion or other content provided by the automated assistant. The user's feedback may be used to influence future suggestions and/or other content subsequently provided, by the automated assistant in future dialog sessions, to the user and/or to other users. In some implementations, content is provided to a user by an automated assistant in a dialog session between the user and the automated assistant—and the automated assistant provides a prompt that solicits user feedback related to the provided content in a future dialog session between the user and the automated assistant. In some of those implementations, the prompt is provided following input from the user and/or output from the automated assistant, in the future dialog session, that is unrelated to the content provided in the previous dialog session.
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公开(公告)号：US10650005B2
公开(公告)日：2020-05-12
申请号：US15908473
申请日：2018-02-28
Applicant: Google LLC
Inventor： Yew Jin Lim , James Kunz , Joseph Garrett Linn , Charles Jordan Gilliland , David Faden , Sanjit Jhala
IPC: G06F16/2457 , G06F16/29 , G06F16/955 , G06F16/9535
Abstract: A computing system is described that identifies, based on search histories associated with a group of computing devices for a particular context, a task performed by users of the group of computing devices for the particular context. The computing system determines a first degree of likelihood of the task being performed by the users of the group of computing devices for the particular context and determines a second degree of likelihood of the task being performed by the users of the group of computing devices for a broader context that includes the particular context and at least one other context. Responsive to determining that the first degree of likelihood exceeds the second degree of likelihood by a threshold amount, and that a current context of a particular computing device corresponds to the particular context, the computing system transmits, to the particular computing device, information for completing the task for the particular context.
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公开(公告)号：US20180189358A1
公开(公告)日：2018-07-05
申请号：US15908473
申请日：2018-02-28
Applicant: Google LLC
Inventor： Yew Jin Lim , James Kunz , Joseph Garrett Linn , Charles Jordan Gilliland , David Faden , Sanjit Jhala
IPC: G06F17/30
CPC classification number: G06F16/24575 , G06F16/24578 , G06F16/29 , G06F16/9535 , G06F16/955
Abstract: A computing system is described that identifies, based on search histories associated with a group of computing devices for a particular context, a task performed by users of the group of computing devices for the particular context. The computing system determines a first degree of likelihood of the task being performed by the users of the group of computing devices for the particular context and determines a second degree of likelihood of the task being performed by the users of the group of computing devices for a broader context that includes the particular context and at least one other context. Responsive to determining that the first degree of likelihood exceeds the second degree of likelihood by a threshold amount, and that a current context of a particular computing device corresponds to the particular context, the computing system transmits, to the particular computing device, information for completing the task for the particular context.
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公开(公告)号：US20250087213A1
公开(公告)日：2025-03-13
申请号：US18958425
申请日：2024-11-25
Applicant: GOOGLE LLC
Inventor： Vikram Aggarwal , Yew Jin Lim , Adam Goldstein
Abstract: Methods, apparatus, and computer readable media related to soliciting feedback from a user regarding one or more content parameters of a suggestion or other content provided by the automated assistant. The user's feedback may be used to influence future suggestions and/or other content subsequently provided, by the automated assistant in future dialog sessions, to the user and/or to other users. In some implementations, content is provided to a user by an automated assistant in a dialog session between the user and the automated assistant—and the automated assistant provides a prompt that solicits user feedback related to the provided content in a future dialog session between the user and the automated assistant. In some of those implementations, the prompt is provided following input from the user and/or output from the automated assistant, in the future dialog session, that is unrelated to the content provided in the previous dialog session.
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公开(公告)号：US11868417B2
公开(公告)日：2024-01-09
申请号：US17774894
申请日：2019-11-06
Applicant: Google LLC
Inventor： Yew Jin Lim , David Adam Faden , Mario Tanev , Lauren Ashley Koepnick , Sagar Gandhi , William Ming Zhang
IPC: G06F16/9535 , G06F16/9536 , G06F16/9538
CPC classification number: G06F16/9535 , G06F16/9536 , G06F16/9538
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that identify and issue search queries expected to be issued in the future. A set of search queries that have been issued by multiple user devices can be obtained. For each query instance, contextual data can be obtained. A first query and its contextual data can be input to a model that outputs the query's likelihood of being issued in the future. The model can be trained using contextual data for training queries and a corresponding labels for the training queries. The learning model outputs the first query's likelihood of being issued in future, and this query is stored as a repeatable query if the likelihood satisfying a repeatability threshold. Subsequently, a stored repeatable query is issued upon a selection of a user selectable interface component and the search engine provides search results for the query.
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Patent Agency Ranking
公开(公告)号：US11574339B1
公开(公告)日：2023-02-07
申请号：US16705919
申请日：2019-12-06
Applicant: Google LLC
Inventor： Yew Jin Lim , James Kunz , Randolph Gregory Brown , Beidou Wang , David Hou , Kyle Zaragoza , Yi Li , Nikita Kirnosov , Tao Feng
Abstract: Processor(s) of a client device can: analyze one or more features of an electronic resource that is under consideration for solicitation to a user; determine a notification likelihood that the user will access the electronic resource in response to an unsolicited notification of the electronic resource being output to the user; determine a baseline likelihood that the user will access the electronic resource without being solicited; compare the notification likelihood with the baseline likelihood; and cause, based on the comparing, the unsolicited notification to be output to the user. In some implementations, determining the notification likelihood and/or the baseline likelihood is based on applying data associated with the electronic resource as input across a machine learning model to generate output indicative of the notification likelihood and/or the baseline likelihood. In other implementations, determining the notification likelihood and/or the baseline likelihood is based on past behavior or preference(s) of the user.
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公开(公告)号：US12154564B2
公开(公告)日：2024-11-26
申请号：US17733263
申请日：2022-04-29
Applicant: GOOGLE LLC
Inventor： Vikram Aggarwal , Yew Jin Lim , Adam Goldstein
Abstract: Methods, apparatus, and computer readable media related to soliciting feedback from a user regarding one or more content parameters of a suggestion or other content provided by the automated assistant. The user's feedback may be used to influence future suggestions and/or other content subsequently provided, by the automated assistant in future dialog sessions, to the user and/or to other users. In some implementations, content is provided to a user by an automated assistant in a dialog session between the user and the automated assistant—and the automated assistant provides a prompt that solicits user feedback related to the provided content in a future dialog session between the user and the automated assistant. In some of those implementations, the prompt is provided following input from the user and/or output from the automated assistant, in the future dialog session, that is unrelated to the content provided in the previous dialog session.
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公开(公告)号：US20240086479A1
公开(公告)日：2024-03-14
申请号：US18517509
申请日：2023-11-22
Applicant: Google LLC
Inventor： Yew Jin Lim , David Adam Faden , Mario Tanev , Lauren Ashley Koepnick , Sagar Gandhi , William Ming Zhang
IPC: G06F16/9535 , G06F16/9536 , G06F16/9538
CPC classification number: G06F16/9535 , G06F16/9536 , G06F16/9538
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that identify and issue search queries expected to be issued in the future. A set of search queries that have been issued by multiple user devices can be obtained. For each query instance, contextual data can be obtained. A first query and its contextual data can be input to a model that outputs the query's likelihood of being issued in the future. The model can be trained using contextual data for training queries and a corresponding labels for the training queries. The learning model outputs the first query's likelihood of being issued in future, and this query is stored as a repeatable query if the likelihood satisfying a repeatability threshold. Subsequently, a stored repeatable query is issued upon a selection of a user selectable interface component and the search engine provides search results for the query.
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公开(公告)号：US11663277B2
公开(公告)日：2023-05-30
申请号：US17005948
申请日：2020-08-28
Applicant: Google LLC
Inventor： Joseph Garrett Linn , Xingjian Zhang , Yew Jin Lim , Ruben Adamyan
IPC: G06F16/20 , G06F16/951 , G06F16/248 , G06F16/2458 , G06Q10/10 , G06Q40/00
CPC classification number: G06F16/951 , G06F16/248 , G06F16/2477 , G06Q10/10 , G06Q40/00
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving multiple resources, each resource including electronic media content. For each resource, a computing system identifies one or more entities that are associated with the resource. For at least one pair of identified entities, the system determines a quantity of resources in which each entity of the pair is associated. The system determines, based on the quantity of resources, an occurrence of an event that is associated with a particular pair of entities. The system generates a representation that corresponds to the event and based on the resources in which each entity of the pair of entities is associated. The system provides, for output to a user device, the representation that corresponds to the event.
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10.发明申请公开(公告)号：US20220262360A1
公开(公告)日：2022-08-18
申请号：US17733263
申请日：2022-04-29
Applicant: GOOGLE LLC
Inventor： Vikram Aggarwal , Yew Jin Lim , Adam Goldstein
Abstract: Methods, apparatus, and computer readable media related to soliciting feedback from a user regarding one or more content parameters of a suggestion or other content provided by the automated assistant. The user's feedback may be used to influence future suggestions and/or other content subsequently provided, by the automated assistant in future dialog sessions, to the user and/or to other users. In some implementations, content is provided to a user by an automated assistant in a dialog session between the user and the automated assistant—and the automated assistant provides a prompt that solicits user feedback related to the provided content in a future dialog session between the user and the automated assistant. In some of those implementations, the prompt is provided following input from the user and/or output from the automated assistant, in the future dialog session, that is unrelated to the content provided in the previous dialog session.
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