公开(公告)号：US12197406B1

公开(公告)日：2025-01-14

申请号：US18581179

申请日：2024-02-19

Applicant: GOOGLE LLC

Inventor： Maxim Gubin ,  Kenneth W. Dauber ,  Krishna Bharat ,  Sang Soo Sung

IPC: G06F16/21 ,  G06F16/24 ,  G06F16/2458

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing suggestions within a document. In one aspect, a method includes obtaining textual input provided to a document editing application by a user device, the textual input being provided to the document editing application for inclusion in a document; identifying performance measures associated with the current editing session for the document, each performance measure being based on session data obtained from the user device during a document editing session, the session data being for the textual input and prior text that was included in the document prior to the textual input; providing the performance measures as input to a suggestion model that was trained using historical performance measures identified in performance logs for historical document editing sessions of users; and throttling textual suggestions during the current editing session based on the output of the suggestion model.

公开(公告)号：US10901965B1

公开(公告)日：2021-01-26

申请号：US16253416

申请日：2019-01-22

Applicant: Google LLC

Inventor： Maxim Gubin ,  Kenneth W. Dauber ,  Krishna Bharat ,  Sang Soo Sung

IPC: G06F16/00 ,  G06F16/21 ,  G06F16/2458

Abstract: In one aspect, a method includes obtaining textual input provided to a document editing application by a user device, the textual input being provided to the document editing application for inclusion in a document; identifying performance measures associated with the current editing session for the document, each performance measure being based on session data obtained from the user device during a document editing session, the session data being for the textual input and prior text that was included in the document prior to the textual input; providing the performance measures as input to a suggestion model that was trained using historical performance measures identified in performance logs for historical document editing sessions of users; and throttling textual suggestions during the current editing session based on the output of the suggestion model.

公开(公告)号：US20200233914A1

公开(公告)日：2020-07-23

申请号：US16838590

申请日：2020-04-02

Applicant: Google LLC

Inventor： Timo Mertens ,  Maxim Gubin

IPC: G06F16/9535 ,  G06F16/33 ,  G06F16/2457 ,  G06F16/35 ,  G06F16/22

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer-storage medium, for using a search engine implemented on a user device to identify topics or tasks associated with native application content. The method may include actions of receiving a set of data that is generated by the native application and that includes (i) native application content, and (ii) context information associated with the native application content, indexing the data on the user device, and then identifying one or more tasks based on the indexed data.

公开(公告)号：US10223392B1

公开(公告)日：2019-03-05

申请号：US15902103

申请日：2018-02-22

Applicant: Google LLC

Inventor： Maxim Gubin ,  Kenneth W. Dauber ,  Krishna Bharat ,  Sang Soo Sung

IPC: G06F17/30

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing suggestions within a document. In one aspect, a method includes obtaining textual input provided to a document editing application by a user device, the textual input being provided to the document editing application for inclusion in a document; identifying performance measures associated with the current editing session for the document, each performance measure being based on session data obtained from the user device during a document editing session, the session data being for the textual input and prior text that was included in the document prior to the textual input; providing the performance measures as input to a suggestion model that was trained using historical performance measures identified in performance logs for historical document editing sessions of users; and throttling textual suggestions during the current editing session based on the output of the suggestion model.

公开(公告)号：US11907190B1

公开(公告)日：2024-02-20

申请号：US17122827

申请日：2020-12-15

Applicant: GOOGLE LLC

Inventor： Maxim Gubin ,  Kenneth W. Dauber ,  Krishna Bharat ,  Sang Soo Sung

IPC: G06F16/21 ,  G06F16/24 ,  G06F16/2458

CPC classification number: G06F16/219 ,  G06F16/2465

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing suggestions within a document. In one aspect, a method includes obtaining textual input provided to a document editing application by a user device, the textual input being provided to the document editing application for inclusion in a document; identifying performance measures associated with the current editing session for the document, each performance measure being based on session data obtained from the user device during a document editing session, the session data being for the textual input and prior text that was included in the document prior to the textual input; providing the performance measures as input to a suggestion model that was trained using historical performance measures identified in performance logs for historical document editing sessions of users; and throttling textual suggestions during the current editing session based on the output of the suggestion model.

公开(公告)号：US11354367B2

公开(公告)日：2022-06-07

申请号：US16838590

申请日：2020-04-02

Applicant: Google LLC

Inventor： Timo Mertens ,  Maxim Gubin

IPC: G06F16/22 ,  G06F16/35 ,  G06F16/2457 ,  G06F16/33 ,  G06F16/9535

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer-storage medium, for using a search engine implemented on a user device to identify topics or tasks associated with native application content. The method may include actions of receiving a set of data that is generated by the native application and that includes (i) native application content, and (ii) context information associated with the native application content, indexing the data on the user device, and then identifying one or more tasks based on the indexed data.