公开(公告)号：US20210174020A1

公开(公告)日：2021-06-10

申请号：US17052382

申请日：2019-05-06

Applicant: Google LLC

Inventor： Timothy Youngjin Sohn ,  Bogdan Prisacari ,  Paul Roland Lambert ,  Victor Anchidin ,  Balint Miklos ,  Julia Proskurnia ,  Bryan Kenneth Rea ,  Thijs Van As ,  Matthew Vincent Dierker ,  Jacqueline Amy Tsay

IPC: G06F40/274 ,  G06F40/56 ,  H04L12/58 ,  G06N20/20 ,  G06N3/08

Abstract: An example method includes receiving, by a computing system, an identification of a recipient of an electronic message being composed from a message account associated with a user; predicting, by the computing system and based on text contained in previous electronic messages sent from the message account, text for a body of the electronic message; and outputting, for display, the predicted text for optional selection and insertion into the body of the electronic message.

公开(公告)号：US12067360B2

公开(公告)日：2024-08-20

申请号：US17052382

申请日：2019-05-06

Applicant: Google LLC

Inventor： Timothy Youngjin Sohn ,  Bogdan Prisacari ,  Paul Roland Lambert ,  Victor Anchidin ,  Balint Miklos ,  Julia Proskurnia ,  Bryan Kenneth Rea ,  Thijs Van As ,  Matthew Vincent Dierker ,  Jacqueline Amy Tsay

IPC: G06F40/274 ,  G06F40/56 ,  G06N3/08 ,  G06N20/20 ,  H04L51/216 ,  H04L51/42

CPC classification number: G06F40/274 ,  G06F40/56 ,  G06N3/08 ,  G06N20/20 ,  H04L51/216 ,  H04L51/42

Abstract: An example method includes receiving, by a computing system, an identification of a recipient of an electronic message being composed from a message account associated with a user; predicting, by the computing system and based on text contained in previous electronic messages sent from the message account, text for a body of the electronic message; and outputting, for display, the predicted text for optional selection and insertion into the body of the electronic message.

公开(公告)号：US11238211B2

公开(公告)日：2022-02-01

申请号：US16978658

申请日：2019-03-14

Applicant: Google LLC

Inventor： Jan van de Kerkhof ,  Balint Miklos ,  Amr Abdelfattah ,  Tobias Kaufmann ,  László Lukacs ,  Bjarke Ebert ,  Victor Anchidin ,  Brian Strope ,  Heeyoung Lee ,  Yun-hsuan Sung ,  Noah Constant ,  Neil Smith

IPC: G06F17/00 ,  G06F40/134 ,  G06F40/166 ,  G06F40/30

Abstract: A system may use a machine-learned model to determine whether to classify a sequence of one or more words within a first document that is being edited as a candidate hyperlink based at least in part on context associated with the first document. In response to classifying the sequence of one or more words as the candidate hyperlink, the system may use the machine-learned model and based at least in part on the sequence of one or more words and the context to determine one or more candidate document to be hyperlinked from the sequence of one or more words. In response to receiving an indication of a second document being selected out of the one or more candidate documents, the system may modify the first document to associate the sequence of one or more words with a hyperlink to the second document.