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:
Sep. 07, 2021

Filed:

Jul. 12, 2017
Applicant:

Apple Inc., Cupertino, CA (US);

Inventors:

Hon Yuk Chan, Santa Clara, CA (US);

John M. Hörnkvist, Cupertino, CA (US);

Lun Cui, Fremont, CA (US);

Vipul Ved Prakash, San Francisco, CA (US);

Anubhav Malhotra, San Francisco, CA (US);

Stanley N. Hung, Cupertino, CA (US);

Julien Freudiger, San Francisco, CA (US);

Assignee:

Apple Inc., Cupertino, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/2457 (2019.01); G06F 16/248 (2019.01); G06F 16/335 (2019.01); G06F 16/9535 (2019.01); G06N 3/08 (2006.01); G06N 20/00 (2019.01); G06F 16/951 (2019.01); G06N 3/04 (2006.01); G06N 20/20 (2019.01);
U.S. Cl.
CPC ...
G06F 16/24578 (2019.01); G06F 16/248 (2019.01); G06F 16/335 (2019.01); G06F 16/951 (2019.01); G06F 16/9535 (2019.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06N 20/20 (2019.01);
Abstract

A method and apparatus of a device that generates a re-ranking model used to re-rank a plurality of search results on a client device is described. In an exemplary embodiment, the device receives a crowd-sourced intra-domain model from a server, where the intra-domain model is a search result re-ranking model generated based on at least device interactions of a plurality of users interacting with a plurality of other devices. The device further generates a re-ranking model from the crowd-sourced intra-domain model and a local model, where the local model includes private data representing a device user's interaction with that device and the re-ranking model is used to re-rank a plurality of search results.


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