公开(公告)号：US20250028738A1

公开(公告)日：2025-01-23

申请号：US18787525

申请日：2024-07-29

Applicant: GOOGLE LLC

Inventor： Fergus Gerard Hurley ,  Robin Dua ,  Sangsoo Sung ,  Andrew Tomkins

IPC: G06F16/28 ,  G06Q10/109

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for list accumulation and reminder triggering. In one aspect, a method includes receiving, at a data processing apparatus, a first input comprising a plurality of terms; determining, by the data processing apparatus, that one or more of the terms in the first input specify an item that belongs to a reminder category, the reminder category being associated with a collection of items that belong to the category and for which reminders may be generated; and in response to the determination, storing data that associates a reminder type with the item specified by the one or more terms.

公开(公告)号：US11562005B2

公开(公告)日：2023-01-24

申请号：US17012898

申请日：2020-09-04

Applicant: Google LLC

Inventor： Fergus Gerard Hurley ,  Robin Dua ,  Sangsoo Sung ,  Andrew Tomkins

IPC: G06F16/20 ,  G06F16/28 ,  G06Q10/10

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for list accumulation and reminder triggering. In one aspect, a method includes receiving, at a data processing apparatus, a first input comprising a plurality of terms; determining, by the data processing apparatus, that one or more of the terms in the first input specify an item that belongs to a reminder category, the reminder category being associated with a collection of items that belong to the category and for which reminders may be generated; and in response to the determination, storing data that associates a reminder type with the item specified by the one or more terms.

公开(公告)号：US10986214B2

公开(公告)日：2021-04-20

申请号：US16450296

申请日：2019-06-24

Applicant: Google LLC

Inventor： Sangsoo Sung ,  Yuli Gao ,  Prathab Murugesan

IPC: G10L15/30 ,  G10L15/22 ,  G06F16/33 ,  H04L29/06

Abstract: Data associated with a selectively offline capable voice action is locally persisted in a voice-enabled electronic device whenever such an action cannot be competed locally due to the device being offline to enable the action to later be completed after online connectivity has been restored. Synchronization with an online service and/or another electronic device, and/or retrieval of context sensitive data from an online service may be performed after online connectivity has been restored to enable the voice action to thereafter be completed.

公开(公告)号：US10552489B2

公开(公告)日：2020-02-04

申请号：US15888049

申请日：2018-02-04

Applicant: Google LLC

Inventor： Sangsoo Sung ,  Yuli Gao ,  Prathab Murugesan

IPC: G06F17/00 ,  G06F16/9032 ,  G10L17/22 ,  G06F16/242 ,  G06F16/22 ,  G10L15/19 ,  G10L15/30 ,  G06F16/33 ,  G06F17/27

Abstract: An offline semantic processor of a resource-constrained voice-enabled device such as a mobile device utilizes an offline grammar model with reduced resource requirements to parse voice-based queries received by the device. The offline grammar model may be generated from a larger and more comprehensive grammar model used by an online voice-based query processor, and the generation of the offline grammar model may be based upon query usage data collected from one or more users to enable a subset of more popular voice-based queries from the online grammar model to be incorporated into the offline grammar model. In addition, such a device may collect query usage data and upload such data to an online service to enable an updated offline grammar model to be generated and downloaded back to the device and thereby enable a dynamic update of the offline grammar model to be performed.

公开(公告)号：US20180247653A1

公开(公告)日：2018-08-30

申请号：US15969291

申请日：2018-05-02

Applicant: Google LLC

Inventor： Yuli Gao ,  Sangsoo Sung ,  Prathab Murugesa

IPC: G10L15/26

CPC classification number: G10L15/26 ,  G10L15/065 ,  G10L15/083 ,  G10L15/1822 ,  G10L15/22 ,  G10L2015/223 ,  G10L2015/228

Abstract: A voice to text model used by a voice-enabled electronic device is dynamically and in a context-sensitive manner updated to facilitate recognition of entities that potentially may be spoken by a user in a voice input directed to the voice-enabled electronic device. The dynamic update to the voice to text model may be performed, for example, based upon processing of a first portion of a voice input, e.g., based upon detection of a particular type of voice action, and may be targeted to facilitate the recognition of entities that may occur in a later portion of the same voice input, e.g., entities that are particularly relevant to one or more parameters associated with a detected type of voice action.

公开(公告)号：US12050627B2

公开(公告)日：2024-07-30

申请号：US18100471

申请日：2023-01-23

Applicant: GOOGLE LLC

Inventor： Fergus Gerard Hurley ,  Robin Dua ,  Sangsoo Sung ,  Andrew Tomkins

IPC: G06F16/20 ,  G06F16/28 ,  G06Q10/109

CPC classification number: G06F16/285 ,  G06Q10/109

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for list accumulation and reminder triggering. In one aspect, a method includes receiving, at a data processing apparatus, a first input comprising a plurality of terms; determining, by the data processing apparatus, that one or more of the terms in the first input specify an item that belongs to a reminder category, the reminder category being associated with a collection of items that belong to the category and for which reminders may be generated; and in response to the determination, storing data that associates a reminder type with the item specified by the one or more terms.

公开(公告)号：US20230237074A1

公开(公告)日：2023-07-27

申请号：US18100471

申请日：2023-01-23

Applicant: GOOGLE LLC

Inventor： Fergus Gerard Hurley ,  Robin Dua ,  Sangsoo Sung ,  Andrew Tomkins

IPC: G06F16/28 ,  G06Q10/109

CPC classification number: G06F16/285 ,  G06Q10/109

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for list accumulation and reminder triggering. In one aspect, a method includes receiving, at a data processing apparatus, a first input comprising a plurality of terms; determining, by the data processing apparatus, that one or more of the terms in the first input specify an item that belongs to a reminder category, the reminder category being associated with a collection of items that belong to the category and for which reminders may be generated; and in response to the determination, storing data that associates a reminder type with the item specified by the one or more terms.

公开(公告)号：US10217134B2

公开(公告)日：2019-02-26

申请号：US14313451

申请日：2014-06-24

Applicant: Google LLC

Inventor： Fergus Gerard Hurley ,  Michael Schwarz ,  Robin Dua ,  Sangsoo Sung ,  Andrew Tomkins

IPC: G06Q30/00 ,  G06Q30/02 ,  H04W4/21 ,  H04W4/02

Abstract: Methods, systems, and apparatus, for detour based content selection. In one aspect, a method includes receiving, at a data processing apparatus, location data for a plurality of users, the location data describing, for each user, locations of a user device of the user; determining, from the location data, route data for the plurality of users, the route data describing, for each user, a route traveled by the user; determining, by the data processing apparatus, for at least one or more of the users, a detour from the route traveled by the user to a retail location of the offeror; determining, by the data processing apparatus, for each of the at least one or more of the users, whether the user is eligible for an offer of the offeror based on the detour; and for each user eligible for an offer, enabling the offeror to provide an offer to the user.

公开(公告)号：US11676606B2

公开(公告)日：2023-06-13

申请号：US17397592

申请日：2021-08-09

Applicant: Google LLC

Inventor： Yuli Gao ,  Sangsoo Sung ,  Prathab Murugesa

IPC: G10L15/26 ,  G10L15/22 ,  G10L15/065 ,  G10L15/18 ,  G10L15/08

CPC classification number: G10L15/26 ,  G10L15/22 ,  G10L15/065 ,  G10L15/083 ,  G10L15/1822 ,  G10L2015/223 ,  G10L2015/228

Abstract: A voice to text model used by a voice-enabled electronic device is dynamically and in a context-sensitive manner updated to facilitate recognition of entities that potentially may be spoken by a user in a voice input directed to the voice-enabled electronic device. The dynamic update to the voice to text model may be performed, for example, based upon processing of a first portion of a voice input, e.g., based upon detection of a particular type of voice action, and may be targeted to facilitate the recognition of entities that may occur in a later portion of the same voice input, e.g., entities that are particularly relevant to one or more parameters associated with a detected type of voice action.

公开(公告)号：US20210366484A1

公开(公告)日：2021-11-25

申请号：US17397592

申请日：2021-08-09

Applicant: Google LLC

Inventor： Yuli Gao ,  Sangsoo Sung ,  Prathab Murugesa

IPC: G10L15/26 ,  G10L15/22

Abstract: A voice to text model used by a voice-enabled electronic device is dynamically and in a context-sensitive manner updated to facilitate recognition of entities that potentially may be spoken by a user in a voice input directed to the voice-enabled electronic device. The dynamic update to the voice to text model may be performed, for example, based upon processing of a first portion of a voice input, e.g., based upon detection of a particular type of voice action, and may be targeted to facilitate the recognition of entities that may occur in a later portion of the same voice input, e.g., entities that are particularly relevant to one or more parameters associated with a detected type of voice action.