公开(公告)号：US11507863B2

公开(公告)日：2022-11-22

申请号：US16880408

申请日：2020-05-21

Applicant: Apple Inc.

Inventor： Chiraag Sumanth ,  Gokcen Cilingir ,  Joao Pedro Lacerda

IPC: G06N5/04 ,  G06N20/00 ,  G06F16/2457

Abstract: Systems and methods can suggest applications for use by a user of a computing device. The suggestions can be provided on a user interface for the user to select. A suggestion engine can use historical user interactions and contextual data to derive features for a machine learning mode. The machine learning model can determine which application to suggest according to the current context. Multiple models, such as a pattern model and a heuristics model, may be user to generate features for the machine learning model based in user interactions.

公开(公告)号：US20210365806A1

公开(公告)日：2021-11-25

申请号：US16880408

申请日：2020-05-21

Applicant: Apple Inc.

Inventor： Chiraag Sumanth ,  Gokcen Cilingir ,  Joao Pedro Lacerda

IPC: G06N5/04 ,  G06F16/2457 ,  G06N20/00

Abstract: Systems and methods can suggest applications for use by a user of a computing device. The suggestions can be provided on a user interface for the user to select. A suggestion engine can use historical user interactions and contextual data to derive features for a machine learning mode. The machine learning model can determine which application to suggest according to the current context. Multiple models, such as a pattern model and a heuristics model, may be user to generate features for the machine learning model based in user interactions.

公开(公告)号：US12086383B2

公开(公告)日：2024-09-10

申请号：US17667733

申请日：2022-02-09

Applicant: Apple Inc.

Inventor： Pallavika Ramaswamy ,  Cameron Burgess ,  Gokcen Cilingir ,  Mert Dumenci ,  Rishab Mehra ,  Ari Weinstein ,  Ilkyu Lee

IPC: G06F3/048 ,  G06F3/0482 ,  G06F3/0488

CPC classification number: G06F3/0482 ,  G06F3/0488

Abstract: This relates generally to intelligent automated assistants and, more specifically, to provide intelligent contextual action predictions by the intelligent automated assistants. An example method includes, at an electronic device displaying a content to a user, receiving a user input on a display area of the displayed content, determining a content type associated with a content object of the displayed content in response to receiving the user input, extracting one or more data items from the determined content type, determining one or more action types of each of the one or more data items and one or more action parameters for the each of the action types, determining one or more suggestive actions based on the determined one or more actions types; and presenting, to the user, at least one suggestive action from the one or more suggestive actions.