公开(公告)号：US20230153346A1

公开(公告)日：2023-05-18

申请号：US18094245

申请日：2023-01-06

Applicant: GOOGLE LLC

Inventor： Robert Rose ,  Qun Cao

IPC: G06F16/583 ,  G06F16/14 ,  G06N20/00

CPC classification number: G06F16/5838 ,  G06F16/144 ,  G06N20/00

Abstract: Implementations are described herein for leveraging digital media files retrieved and/or created by users to predict/determine topics of potential relevance to the users. In various implementations, digital media file(s) created and/or retrieved by a user with a client device may be applied as input across trained machine learning model(s), which in some cases are local to the client device, to generate output that indicates object(s) detected in the digital media file(s). Data indicative of the indicated object(s) may be provided to a remote computing system without providing the digital media file(s) themselves. In some implementations, information associated with the indicated object(s) may be retrieved and proactively output to the user. In some implementations, a frequency at which objects occur across a corpus of digital media files may be considered when determining a likelihood that a detected object is potentially relevant to a user.

公开(公告)号：US10860642B2

公开(公告)日：2020-12-08

申请号：US16014730

申请日：2018-06-21

Applicant: Google LLC

Inventor： Robert Rose ,  Qun Cao

IPC: G06F16/583 ,  G06F16/14 ,  G06N20/00

Abstract: Implementations are described herein for leveraging digital media files retrieved and/or created by users to predict/determine topics of potential relevance to the users. In various implementations, digital media file(s) created and/or retrieved by a user with a client device may be applied as input across trained machine learning model(s), which in some cases are local to the client device, to generate output that indicates object(s) detected in the digital media file(s). Data indicative of the indicated object(s) may be provided to a remote computing system without providing the digital media file(s) themselves. In some implementations, information associated with the indicated object(s) may be retrieved and proactively output to the user. In some implementations, a frequency at which objects occur across a corpus of digital media files may be considered when determining a likelihood that a detected object is potentially relevant to a user.