公开(公告)号：US20230376549A1

公开(公告)日：2023-11-23

申请号：US18231229

申请日：2023-08-07

Applicant: Apple Inc.

Inventor： Giovanni M. AGNOLI ,  Joshua C. WEINBERG ,  Joshua R. FORD ,  Antoine J. ATALLAH ,  Roozbeh MAHDAVIAN ,  Eric Lance WILSON

IPC: G06F16/9535 ,  G06F1/16 ,  G04G99/00 ,  G06T19/00 ,  G06N20/00 ,  G04G21/02 ,  G04F10/00 ,  G04G21/00 ,  G04G13/02

CPC classification number: G06F16/9535 ,  G06F1/163 ,  G04G99/006 ,  G06T19/006 ,  G06N20/00 ,  G04G21/025 ,  G04F10/00 ,  G04G21/00 ,  G04G13/02 ,  G04G21/08

Abstract: 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.

公开(公告)号：US20210011963A1

公开(公告)日：2021-01-14

申请号：US17027599

申请日：2020-09-21

Applicant: Apple Inc.

Inventor： Giovanni M. AGNOLI ,  Joshua C. WEINBERG ,  Joshua R. FORD ,  Antoine J. ATALLAH ,  Roozbeh MAHDAVIAN ,  Eric Lance WILSON

IPC: G06F16/9535 ,  G06F1/16 ,  G04G99/00 ,  G06T19/00 ,  G06N20/00 ,  G04G21/02 ,  G04F10/00 ,  G04G21/00 ,  G04G13/02

Abstract: 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.