Annotation and retrieval of personal bookmarks

    公开(公告)号:US11574028B2

    公开(公告)日:2023-02-07

    申请号:US16972250

    申请日:2019-04-16

    申请人: Google LLC

    摘要: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a first input associated with a bookmark and, in response to receiving the first input, obtaining context data for deriving annotations for the bookmark. An annotation engine of a system obtains multiple annotations that are derived using information included in the context data and a transcription of the first input associated with the bookmark. The annotation engine generates an importance value for each annotation. The importance value characterizes a relationship between each annotation and at least one of: the information included in the context data; or the transcription of the first input. The annotation engine generates a set of annotations for retrieving the bookmark. Each annotation in the set of annotations is generated from the obtained multiple annotations and each annotation has an importance value that exceeds a threshold value.

    ANNOTATION AND RETRIEVAL OF PERSONAL BOOKMARKS

    公开(公告)号:US20210240793A1

    公开(公告)日:2021-08-05

    申请号:US16972250

    申请日:2019-04-16

    申请人: Google LLC

    摘要: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a first input associated with a bookmark and, in response to receiving the first input, obtaining context data for deriving annotations for the bookmark. An annotation engine of a system obtains multiple annotations that are derived using information included in the context data and a transcription of the first input associated with the bookmark The annotation engine generates an importance value for each annotation. The importance value characterizes a relationship between each annotation and at least one of: the information included in the context data; or the transcription of the first input. The annotation engine generates a set of annotations for retrieving the bookmark. Each annotation in the set of annotations is generated from the obtained multiple annotations and each annotation has an importance value that exceeds a threshold value.

    Contextual deep bookmarking
    6.
    发明授权

    公开(公告)号:US10810278B2

    公开(公告)日:2020-10-20

    申请号:US15836599

    申请日:2017-12-08

    申请人: Google LLC

    摘要: A computer-implemented method is described. The method includes a computing system receiving a first voice input from a user for generating a bookmark. Responsive to receiving the voice input, the computing system obtains a resource identifier associated with a resource page. The method includes the computing system storing the resource identifier as a bookmark in a bookmark index that is accessible in response to a request from a user device. The method further includes the computing system using the resource identifier, stored as the bookmark, to access the resource page. The computing system uses the resource identifier to access the resource page based on the request from the user device. The request is generated by the user device in response to the user device receiving a second voice input from the user.

    CONTEXTUAL DEEP BOOKMARKING
    7.
    发明申请

    公开(公告)号:US20180300421A1

    公开(公告)日:2018-10-18

    申请号:US15836599

    申请日:2017-12-08

    申请人: Google LLC

    摘要: A computer-implemented method is described. The method includes a computing system receiving a first voice input from a user for generating a bookmark. Responsive to receiving the voice input, the computing system obtains a resource identifier associated with a resource page. The method includes the computing system storing the resource identifier as a bookmark in a bookmark index that is accessible in response to a request from a user device. The method further includes the computing system using the resource identifier, stored as the bookmark, to access the resource page. The computing system uses the resource identifier to access the resource page based on the request from the user device. The request is generated by the user device in response to the user device receiving a second voice input from the user.

    CONTEXTUAL DEEP BOOKMARKING
    8.
    发明公开

    公开(公告)号:US20240070217A1

    公开(公告)日:2024-02-29

    申请号:US18387753

    申请日:2023-11-07

    申请人: GOOGLE LLC

    摘要: A computer-implemented method is described. The method includes a computing system receiving a first voice input from a user for generating a bookmark. Responsive to receiving the voice input, the computing system obtains a resource identifier associated with a resource page. The method includes the computing system storing the resource identifier as a bookmark in a bookmark index that is accessible in response to a request from a user device. The method further includes the computing system using the resource identifier, stored as the bookmark, to access the resource page. The computing system uses the resource identifier to access the resource page based on the request from the user device. The request is generated by the user device in response to the user device receiving a second voice input from the user.

    CONTEXTUAL DEEP BOOKMARKING
    10.
    发明申请

    公开(公告)号:US20220391466A1

    公开(公告)日:2022-12-08

    申请号:US17891805

    申请日:2022-08-19

    申请人: GOOGLE LLC

    摘要: A computer-implemented method is described. The method includes a computing system receiving a first voice input from a user for generating a bookmark. Responsive to receiving the voice input, the computing system obtains a resource identifier associated with a resource page. The method includes the computing system storing the resource identifier as a bookmark in a bookmark index that is accessible in response to a request from a user device. The method further includes the computing system using the resource identifier, stored as the bookmark, to access the resource page. The computing system uses the resource identifier to access the resource page based on the request from the user device. The request is generated by the user device in response to the user device receiving a second voice input from the user.