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. 15, 2020

Filed:

Nov. 07, 2017
Applicant:

Apple Inc., Cupertino, CA (US);

Inventors:

Kevin W. Decker, San Jose, CA (US);

Conrad Shultz, San Jose, CA (US);

Steve Falkenburg, Los Altos, CA (US);

Mateusz Rajca, Menlo Park, CA (US);

Abhishek Bhowmick, San Francisco, CA (US);

Andrew H. Vyrros, San Francisco, CA (US);

Umesh S. Vaishampayan, Santa Clara, CA (US);

Assignee:

Apple Inc., Cupertino, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 29/06 (2006.01); G06F 21/62 (2013.01); H04L 9/32 (2006.01); H04L 29/08 (2006.01); H04W 12/02 (2009.01); G06F 3/0483 (2013.01); G06F 1/28 (2006.01); G06F 3/0482 (2013.01);
U.S. Cl.
CPC ...
G06F 21/6245 (2013.01); G06F 1/28 (2013.01); G06F 3/0483 (2013.01); H04L 9/3239 (2013.01); H04L 63/0428 (2013.01); H04L 67/02 (2013.01); H04L 67/22 (2013.01); H04W 12/02 (2013.01); G06F 3/0482 (2013.01); H04L 2209/34 (2013.01); H04L 2209/42 (2013.01);
Abstract

Embodiments described herein provide a privacy mechanism to protect user data when transmitting the data to a server that estimates a frequency of such data amongst a set of client devices. One embodiment uses a differential privacy mechanism to enhance a user experience by inferring potential user preferences from analyzing crowdsourced user interaction data. Based on a statistical analysis of user interactions in relation to various features or events, development efforts with respect to application behavior may be refined or enhanced. For example, user interactions in relation to the presentation of content such as content from online sources may be analyzed. Accordingly, presentation settings or preferences may be defined based on the crowdsourced user interaction data.


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