Apple Inc.

Roozbeh Mahdavian

Giovanni M Agnoli

Joshua C Weinberg

Joshua R Ford

Eric Lance Wilson

Antoine Joseph Atallah

Matthew J Sundstrom

Paul W Salzman

Ari Weinstein

Conrad B Kramer

Kyle T Howarth

Jared K McGann

William C MacCartney

Jared K Mcgann

William C Maccartney

Ari R Weinstein

A system for determining relevant information based on user interactions may include a processor configured to receive data and associated relevance information from a data source and a set of signals describing a current environment of a user or historical user behavior information in which the data source being local to a computing device. The processor may be further configured to provide, using a machine learning model, a relevance score for each of multiple data items based at least in part on the received relevance information and the set of signals. The processor may be further configured to sort the data items based on a ranking of each relevance score for each data item. The processor may be further configured to provide, as output, the multiple data items based at least in part on the ranking.

Determining relevant information based on user interactions

A system for determining relevant information based on user interactions may include a processor configured to receive application data from one or more applications, the application data including features related to user activity from the one or more applications, the one or more application including applications local to the device that are stored in the memory and applications external to the device. The processor may be further configured to provide, using a machine learning (ML) model, a relevance score for each of one or more user interface (UI) elements based on each of the features. The processor may be further configured to sort one or more UI elements based on a ranking of the relevance scores. The processor may be further configured to provide, as output, the one or more UI elements based at least in part on the ranking.

Determining relevant information based on third party information and user interactions

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San Francisco, CA, United States of America

Roozbeh Mahdavian