公开(公告)号：US11971925B2

公开(公告)日：2024-04-30

申请号：US18094245

申请日：2023-01-06

Applicant: GOOGLE LLC

Inventor： Robert Rose ,  Qun Cao

IPC: G06F16/583 ,  G06F16/14 ,  G06N20/00

CPC classification number: G06F16/5838 ,  G06F16/144 ,  G06N20/00

Abstract: Implementations are described herein for leveraging digital media files retrieved and/or created by users to predict/determine topics of potential relevance to the users. In various implementations, digital media file(s) created and/or retrieved by a user with a client device may be applied as input across trained machine learning model(s), which in some cases are local to the client device, to generate output that indicates object(s) detected in the digital media file(s). Data indicative of the indicated object(s) may be provided to a remote computing system without providing the digital media file(s) themselves. In some implementations, information associated with the indicated object(s) may be retrieved and proactively output to the user. In some implementations, a frequency at which objects occur across a corpus of digital media files may be considered when determining a likelihood that a detected object is potentially relevant to a user.

公开(公告)号：US20190392055A1

公开(公告)日：2019-12-26

申请号：US16014730

申请日：2018-06-21

Applicant: Google LLC

Inventor： Robert Rose ,  Qun Cao

IPC: G06F17/30 ,  G06N99/00

Abstract: Implementations are described herein for leveraging digital media files retrieved and/or created by users to predict/determine topics of potential relevance to the users. In various implementations, digital media file(s) created and/or retrieved by a user with a client device may be applied as input across trained machine learning model(s), which in some cases are local to the client device, to generate output that indicates object(s) detected in the digital media file(s). Data indicative of the indicated object(s) may be provided to a remote computing system without providing the digital media file(s) themselves. In some implementations, information associated with the indicated object(s) may be retrieved and proactively output to the user. In some implementations, a frequency at which objects occur across a corpus of digital media files may be considered when determining a likelihood that a detected object is potentially relevant to a user.

公开(公告)号：US11580157B2

公开(公告)日：2023-02-14

申请号：US17097110

申请日：2020-11-13

Applicant: Google LLC

Inventor： Robert Rose ,  Qun Cao

IPC: G06F16/583 ,  G06F16/14 ,  G06N20/00

Abstract: Implementations are described herein for leveraging digital media files retrieved and/or created by users to predict/determine topics of potential relevance to the users. In various implementations, digital media file(s) created and/or retrieved by a user with a client device may be applied as input across trained machine learning model(s), which in some cases are local to the client device, to generate output that indicates object(s) detected in the digital media file(s). Data indicative of the indicated object(s) may be provided to a remote computing system without providing the digital media file(s) themselves. In some implementations, information associated with the indicated object(s) may be retrieved and proactively output to the user. In some implementations, a frequency at which objects occur across a corpus of digital media files may be considered when determining a likelihood that a detected object is potentially relevant to a user.

公开(公告)号：US20200285680A1

公开(公告)日：2020-09-10

申请号：US16850320

申请日：2020-04-16

Applicant: Google LLC

Inventor： Zoltan Gyongyi ,  Albert Segars ,  Qun Cao ,  Juthika Dabholkar ,  Darryl DeWeese ,  Anandsudhakar Kesari ,  Yiyuan Xia ,  Vincent Zammit

IPC: G06F16/9535 ,  G06F16/9537

Abstract: Methods and apparatus for generating, in response to a search query of a user, a personal search result that identifies a physical location previously interacted with by the user, such as a physical location previously visited by the user. Some implementations are directed to methods and apparatus for determining whether a search query is a personal locational query indicating a desire for information related to one or more physical locations previously interacted with by the user. Some implementations are directed to methods and apparatus for determining search parameters for such a personal locational query. Some implementations are directed to methods and apparatus for searching private content of the user to determine physical locations previously interacted with by the user that are responsive to such a personal locational query. Some implementations are directed to methods and apparatus for generating personal search results that identify determined physical locations previously interacted with by the user.

公开(公告)号：US20230153346A1

公开(公告)日：2023-05-18

申请号：US18094245

申请日：2023-01-06

Applicant: GOOGLE LLC

Inventor： Robert Rose ,  Qun Cao

IPC: G06F16/583 ,  G06F16/14 ,  G06N20/00

CPC classification number: G06F16/5838 ,  G06F16/144 ,  G06N20/00

Abstract: Implementations are described herein for leveraging digital media files retrieved and/or created by users to predict/determine topics of potential relevance to the users. In various implementations, digital media file(s) created and/or retrieved by a user with a client device may be applied as input across trained machine learning model(s), which in some cases are local to the client device, to generate output that indicates object(s) detected in the digital media file(s). Data indicative of the indicated object(s) may be provided to a remote computing system without providing the digital media file(s) themselves. In some implementations, information associated with the indicated object(s) may be retrieved and proactively output to the user. In some implementations, a frequency at which objects occur across a corpus of digital media files may be considered when determining a likelihood that a detected object is potentially relevant to a user.

公开(公告)号：US10860642B2

公开(公告)日：2020-12-08

申请号：US16014730

申请日：2018-06-21

Applicant: Google LLC

Inventor： Robert Rose ,  Qun Cao

IPC: G06F16/583 ,  G06F16/14 ,  G06N20/00

Abstract: Implementations are described herein for leveraging digital media files retrieved and/or created by users to predict/determine topics of potential relevance to the users. In various implementations, digital media file(s) created and/or retrieved by a user with a client device may be applied as input across trained machine learning model(s), which in some cases are local to the client device, to generate output that indicates object(s) detected in the digital media file(s). Data indicative of the indicated object(s) may be provided to a remote computing system without providing the digital media file(s) themselves. In some implementations, information associated with the indicated object(s) may be retrieved and proactively output to the user. In some implementations, a frequency at which objects occur across a corpus of digital media files may be considered when determining a likelihood that a detected object is potentially relevant to a user.

公开(公告)号：US10664541B2

公开(公告)日：2020-05-26

申请号：US16103685

申请日：2018-08-14

Applicant: Google LLC

Inventor： Zoltan Gyongyi ,  Albert Segars ,  Qun Cao ,  Juthika Dabholkar ,  Darryl DeWeese ,  Anandsudhakar Kesari ,  Yiyuan Xia ,  Vincent Zammit

IPC: G06F16/9537 ,  G06F16/9535

Abstract: Methods and apparatus for generating, in response to a search query of a user, a personal search result that identifies a physical location previously interacted with by the user, such as a physical location previously visited by the user. Some implementations are directed to methods and apparatus for determining whether a search query is a personal locational query indicating a desire for information related to one or more physical locations previously interacted with by the user. Some implementations are directed to methods and apparatus for determining search parameters for such a personal locational query. Some implementations are directed to methods and apparatus for searching private content of the user to determine physical locations previously interacted with by the user that are responsive to such a personal locational query. Some implementations are directed to methods and apparatus for generating personal search results that identify determined physical locations previously interacted with by the user.

公开(公告)号：US11494451B2

公开(公告)日：2022-11-08

申请号：US16850320

申请日：2020-04-16

Applicant: Google LLC

Inventor： Zoltan Gyongyi ,  Albert Segars ,  Qun Cao ,  Juthika Dabholkar ,  Darryl DeWeese ,  Anandsudhakar Kesari ,  Yiyuan Xia ,  Vincent Zammit

IPC: G06F16/9535 ,  G06F16/9537

Abstract: Methods and apparatus for generating, in response to a search query of a user, a personal search result that identifies a physical location previously interacted with by the user, such as a physical location previously visited by the user. Some implementations are directed to methods and apparatus for determining whether a search query is a personal locational query indicating a desire for information related to one or more physical locations previously interacted with by the user. Some implementations are directed to methods and apparatus for determining search parameters for such a personal locational query. Some implementations are directed to methods and apparatus for searching private content of the user to determine physical locations previously interacted with by the user that are responsive to such a personal locational query. Some implementations are directed to methods and apparatus for generating personal search results that identify determined physical locations previously interacted with by the user.

公开(公告)号：US20210064653A1

公开(公告)日：2021-03-04

申请号：US17097110

申请日：2020-11-13

Applicant: Google LLC

Inventor： Robert Rose ,  Qun Cao

IPC: G06F16/583 ,  G06F16/14 ,  G06N20/00

Abstract: Implementations are described herein for leveraging digital media files retrieved and/or created by users to predict/determine topics of potential relevance to the users. In various implementations, digital media file(s) created and/or retrieved by a user with a client device may be applied as input across trained machine learning model(s), which in some cases are local to the client device, to generate output that indicates object(s) detected in the digital media file(s). Data indicative of the indicated object(s) may be provided to a remote computing system without providing the digital media file(s) themselves. In some implementations, information associated with the indicated object(s) may be retrieved and proactively output to the user. In some implementations, a frequency at which objects occur across a corpus of digital media files may be considered when determining a likelihood that a detected object is potentially relevant to a user.

公开(公告)号：US20180349504A1

公开(公告)日：2018-12-06

申请号：US16103685

申请日：2018-08-14

Applicant: Google LLC

Inventor： Zoltan Gyongyi ,  Albert Segars ,  Qun Cao ,  Juthika Dabholkar ,  Darryl DeWeese ,  Anandsudhakar Kesari ,  Yiyuan Xia ,  Vincent Zammit

IPC: G06F17/30

Abstract: Methods and apparatus for generating, in response to a search query of a user, a personal search result that identifies a physical location previously interacted with by the user, such as a physical location previously visited by the user. Some implementations are directed to methods and apparatus for determining whether a search query is a personal locational query indicating a desire for information related to one or more physical locations previously interacted with by the user. Some implementations are directed to methods and apparatus for determining search parameters for such a personal locational query. Some implementations are directed to methods and apparatus for searching private content of the user to determine physical locations previously interacted with by the user that are responsive to such a personal locational query. Some implementations are directed to methods and apparatus for generating personal search results that identify determined physical locations previously interacted with by the user.