The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 24, 2024

Filed:

May. 02, 2022
Applicant:

Apple Inc., Cupertino, CA (US);

Inventors:

Nathaniel B. Chapman, Seattle, WA (US);

Patrick H. Kelly, San Francisco, CA (US);

Eric Circlaeys, Los Gatos, CA (US);

Kevin Bessiere, Cupertino, CA (US);

Brian J. Rogosky, Pennington, NJ (US);

Alfredo Ramos-Alvarez, Middlesex, GB;

Bruno J. Conejo, New York, NY (US);

Matthias Mauch, London, GB;

Hao Yang, Dublin, CA (US);

Bruno Di Giorgi, London, GB;

Jeremy P. Bogle, San Francisco, CA (US);

Zachary H. Smith, San Francisco, CA (US);

Betim Deva, Mountain View, CA (US);

Daniel Cartoon, Atlanta, GA (US);

Neil C. Foley, Reigate, GB;

Menelaos D. Kokolios, London, GB;

Lewis Kaneshiro, Emerald Hills, CA (US);

Jorge A. Herrera Soto, Palo Alto, CA (US);

James E. Hewitt, Los Gatos, CA (US);

Casey W. Baker, San Francisco, CA (US);

Alexa Rockwell, Cupertino, CA (US);

Alexis H. Durocher, San Francisco, CA (US);

Trevor M. Slaton, San Bruno, CA (US);

Cristina N. Smith, Los Gatos, CA (US);

Assignee:

Apple Inc., Cupertino, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/48 (2019.01); G06F 16/2457 (2019.01); G06N 5/02 (2023.01); G06F 16/40 (2019.01); G06F 16/483 (2019.01); G06F 16/487 (2019.01); G06F 16/50 (2019.01); G06F 16/60 (2019.01); G06F 16/70 (2019.01);
U.S. Cl.
CPC ...
G06F 16/24578 (2019.01); G06F 16/48 (2019.01); G06N 5/02 (2013.01); G06F 16/40 (2019.01); G06F 16/483 (2019.01); G06F 16/487 (2019.01); G06F 16/489 (2019.01); G06F 16/50 (2019.01); G06F 16/60 (2019.01); G06F 16/70 (2019.01);
Abstract

Techniques for suggesting media assets, the technique including: requesting a set of candidate media assets for a set of user media items based on a knowledge graph metadata network describing the set of user media items; receiving metadata for the set of candidate media assets; determining one or more sets of ranked media assets based on the received metadata; and outputting the determined one or more sets of ranked media assets.


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