公开(公告)号：US20230169134A1

公开(公告)日：2023-06-01

申请号：US18102037

申请日：2023-01-26

Applicant: GOOGLE LLC

Inventor： Mugurel-Ionut Andreica ,  Jonathan Small ,  Marcin M. Nowak-Przygodzki

IPC: G06F16/955 ,  G06F16/957 ,  G06F16/958 ,  G06F40/169

CPC classification number: G06F16/9562 ,  G06F16/9574 ,  G06F16/972 ,  G06F40/169

Abstract: 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.

公开(公告)号：US11574028B2

公开(公告)日：2023-02-07

申请号：US16972250

申请日：2019-04-16

Applicant: Google LLC

Inventor： Mugurel Ionut Andreica ,  Jonathan Small ,  Marcin M. Nowak-Przygodzki

IPC: G06F17/00 ,  G06F16/955 ,  G06F16/957 ,  G06F16/958 ,  G06F40/169

Abstract: 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.

公开(公告)号：US20210240793A1

公开(公告)日：2021-08-05

申请号：US16972250

申请日：2019-04-16

Applicant: Google LLC

Inventor： Mugurel Ionut Andreica ,  Jonathan Small ,  Marcin M. Nowak-Przygodzki

IPC: G06F16/955 ,  G06F16/958 ,  G06F40/169 ,  G06F16/957

Abstract: 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.