公开(公告)号：US20240267453A1

公开(公告)日：2024-08-08

申请号：US18437097

申请日：2024-02-08

Applicant: Apple Inc.

Inventor： Akshay AGGARWAL ,  Pallavika RAMASWAMY

IPC: H04M1/72454 ,  G06N20/00 ,  H04M1/72451 ,  H04M1/72457

CPC classification number: H04M1/72454 ,  G06N20/00 ,  H04M1/72451 ,  H04M1/72457

Abstract: Systems and processes for providing, via an electronic device, suggested user actions. The suggested actions are provided in response to detecting an occurrence of a predefined event occurring in the user's day. The occurrence of the anchor is encoded in signals generated by the electronic device. The occurrence of the anchor is detectable via monitoring and analysis of electronic signals. Based on the user's previous interactions with the device, the occurrence of the anchor is indicative of user behavior and/or action taken in response to the anchor. Machine learning (ML) is employed to train an anchor model to associate actions taken in response to anchor occurrences. The trained anchor model is employed to detect anchors and provide suggested actions in response to the detected anchor occurrence. The suggested action is based on a type of anchor occurrence and contextual conditions of the anchor occurrences.

公开(公告)号：US20240403307A1

公开(公告)日：2024-12-05

申请号：US18486032

申请日：2023-10-12

Applicant: Apple Inc.

Inventor： Fatih SUNOR ,  João Pedro LACERDA ,  Akshay AGGARWAL ,  Ryan E. CHAPMAN

IPC: G06F16/2458

Abstract: The subject technology provides for temporal reasoning. A system can receive contextual information from a plurality of data sources on an electronic device. The system can identify a predetermined pattern that is indicative of a particular activity in the contextual information within a time interval. The system can determine a confidence score for the particular activity based at least in part on one or more confidence values of a corresponding activity signal associated with the time interval. The system can update a graph-based data structure by adding a representation of the particular activity as a node to the graph-based data structure when a confidence score of the particular activity exceeds a confidence threshold. The system also can provide, for display on the electronic device, a user activity interface that provides access to an indexed collection of events organized by activity type by querying the graph-based data structure.

公开(公告)号：US20210349608A1

公开(公告)日：2021-11-11

申请号：US17343595

申请日：2021-06-09

Applicant: Apple Inc.

Inventor： John L. BLATZ ,  Akshay AGGARWAL ,  Radhika BHARGAVA ,  Daiwei LIU ,  Pallavika RAMASWAMY ,  Kelvin Ting Pui SO

IPC: G06F3/0484 ,  G06F3/0482

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In one example, a plurality of data items selected by a user are received, wherein a plurality of confidence values corresponding to the plurality of data items are identified. The plurality of data items is ordered. The first data item is displayed, and updated context information associated with the electronic device is received. An update to the plurality of confidence values is detected, wherein the updated plurality of confidence values includes a third confidence value associated with a third data item of the plurality of ordered data items. In accordance with a determination that the third confidence value is higher than a first confidence value of the first data item, an order of the plurality of ordered data items is modified, and the third data item of the plurality of ordered data items is displayed.

公开(公告)号：US20240111402A1

公开(公告)日：2024-04-04

申请号：US18538359

申请日：2023-12-13

Applicant: Apple Inc.

Inventor： John L. BLATZ ,  Akshay AGGARWAL ,  Radhika BHARGAVA ,  Daiwei LIU ,  Pallavika RAMASWAMY ,  Kelvin Ting Pui SO

IPC: G06F3/04842 ,  G06F3/0482

CPC classification number: G06F3/04842 ,  G06F3/0482

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In one example, a plurality of data items selected by a user are received, wherein a plurality of confidence values corresponding to the plurality of data items are identified. The plurality of data items is ordered. The first data item is displayed, and updated context information associated with the electronic device is received. An update to the plurality of confidence values is detected, wherein the updated plurality of confidence values includes a third confidence value associated with a third data item of the plurality of ordered data items. In accordance with a determination that the third confidence value is higher than a first confidence value of the first data item, an order of the plurality of ordered data items is modified, and the third data item of the plurality of ordered data items is displayed.

公开(公告)号：US20230036059A1

公开(公告)日：2023-02-02

申请号：US17963516

申请日：2022-10-11

Applicant: Apple Inc.

Inventor： John L. BLATZ ,  Akshay AGGARWAL ,  Radhika BHARGAVA ,  Daiwei LIU ,  Pallavika RAMASWAMY ,  Kelvin Ting Pui SO

IPC: G06F3/04842 ,  G06F3/0482

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In one example, a plurality of data items selected by a user are received, wherein a plurality of confidence values corresponding to the plurality of data items are identified. The plurality of data items is ordered. The first data item is displayed, and updated context information associated with the electronic device is received. An update to the plurality of confidence values is detected, wherein the updated plurality of confidence values includes a third confidence value associated with a third data item of the plurality of ordered data items. In accordance with a determination that the third confidence value is higher than a first confidence value of the first data item, an order of the plurality of ordered data items is modified, and the third data item of the plurality of ordered data items is displayed.

公开(公告)号：US20240403703A1

公开(公告)日：2024-12-05

申请号：US18379136

申请日：2023-10-11

Applicant: Apple Inc.

Inventor： Akshay AGGARWAL ,  Fatih SUNOR ,  João Pedro LACERDA ,  Jeffrey A. POUND ,  Chiraag SUMANTH

IPC: G06N20/00

Abstract: Aspects of the subject technology provide a relevance prediction based on a database of entities and statistics of past interactions between the entities. A relevance of a target entity in the database given a context of entities in the database may be predicted by deriving a probability set of at least one conditional probability from the database for each of the context entities, and then applying a machine learning model to the probability set to produce the relevance of the target entity.

公开(公告)号：US20220365791A1

公开(公告)日：2022-11-17

申请号：US17701665

申请日：2022-03-23

Applicant: Apple Inc.

Inventor： John L. BLATZ ,  Pallavika RAMASWAMY ,  Akshay AGGARWAL ,  Anshuman BANSAL

IPC: G06F9/445 ,  H04L67/50 ,  H04L67/564

Abstract: The subject technology provides notification management systems and methods that can be used to efficiently and manage notifications on electronic devices. The subject technology provides systems and methods for obtaining entity data pertaining to entities associated with the electronic device, and generating, for an operational mode associated with the electronic device, an entity score for each of the entities based on the obtained entity data. Based on the entity scores, a recommendation of a set of configuration settings for the operational mode associated with the computing device is provided for display by the computing device. A user input indicating acceptance of the set of configuration settings is received. Thereafter, when the computing device is in the operational mode, display of one or more notifications is controlled based at least in part on the set of configuration settings.

公开(公告)号：US20210377381A1

公开(公告)日：2021-12-02

申请号：US17336159

申请日：2021-06-01

Applicant: Apple Inc.

Inventor： Akshay AGGARWAL ,  Pallavika RAMASWAMY

IPC: H04M1/72454 ,  H04M1/72457 ,  H04M1/72451 ,  G06N20/00

Abstract: Systems and processes for providing, via an electronic device, suggested user actions. The suggested actions are provided in response to detecting an occurrence of a predefined event occurring in the user's day. The occurrence of the anchor is encoded in signals generated by the electronic device. The occurrence of the anchor is detectable via monitoring and analysis of electronic signals. Based on the user's previous interactions with the device, the occurrence of the anchor is indicative of user behavior and/or action taken in response to the anchor. Machine learning (ML) is employed to train an anchor model to associate actions taken in response to anchor occurrences. The trained anchor model is employed to detect anchors and provide suggested actions in response to the detected anchor occurrence. The suggested action is based on a type of anchor occurrence and contextual conditions of the anchor occurrences.