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：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.