公开(公告)号：US20220318039A1

公开(公告)日：2022-10-06

申请号：US17808770

申请日：2022-06-24

Applicant: Google LLC

Inventor： Golden Gopal Krishna ,  Carl Magnus Borg ,  Miroslav Bojic ,  Henry Owen Newton-Dunn ,  Jacob M. Klinker ,  Mindy Pereira ,  Devin Mancuso ,  Daniel June Hyung Park ,  Lily Sin

IPC: G06F9/451 ,  G06N5/04 ,  G06N20/00 ,  G06Q10/10

Abstract: This document describes techniques for suggesting actions based on machine learning. These techniques determine a task that a user desires to perform, and presents a user interface through which to perform the task. To determine this task, the techniques can analyze content displayed on the user device or analyze contexts of the user and user device. With this determined task, the techniques determine an action that may assist the user in performing the task. This action is further determined to be performable through analysis of functionalities of an application, which may or may not be executing or installed on the user device. With some subset of the application's functionalities determined, the techniques presents the subset of functionalities via the user interface. By so doing, the techniques enable a user to complete a task more easily, quickly, or using fewer computing resources.

公开(公告)号：USD866586S1

公开(公告)日：2019-11-12

申请号：US29659686

申请日：2018-08-10

Applicant: Google LLC

Designer： Christopher Suter ,  Vanko Vankov ,  Monica Lenart ,  Devin Mancuso ,  Austin Lee

公开(公告)号：USD863339S1

公开(公告)日：2019-10-15

申请号：US29659803

申请日：2018-08-13

Applicant: Google LLC

Designer： Christopher Suter ,  Vanko Vankov ,  Monica Lenart ,  Devin Mancuso ,  Austin Lee

公开(公告)号：US20190188322A1

公开(公告)日：2019-06-20

申请号：US16008021

申请日：2018-06-13

Applicant: Google LLC

Inventor： Golden Gopal Krishna ,  Carl Magnus Borg ,  Miroslav Bojic ,  Henry Owen Newton-Dunn ,  Jacob M. Klinker ,  Mindy Pereira ,  Devin Mancuso ,  Daniel June Hyung Park ,  Lily Sin

IPC: G06F17/30 ,  G06N99/00

CPC classification number: G06F16/951 ,  G06F16/334 ,  G06N20/00

Abstract: This document describes techniques and devices for a refined search with machine learning. These techniques improve computer-aided searches through enabling selection of search criteria used in a prior search and providing a refined search result based on that selection. Furthermore, a machine-learning component of a search engine can be altered to improve future search results based on the selection and an indication of the desirability of the refined search result.