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:
Nov. 12, 2019

Filed:

Nov. 23, 2016
Applicant:

Apple Inc., Cupertino, CA (US);

Inventors:

Leonardo A. Soto Matamala, Saratoga, CA (US);

Ronald K. Huang, San Jose, CA (US);

Lukas Marti, Santa Clara, CA (US);

Xiaoyuan Tu, Cupertino, CA (US);

Assignee:

Apple Inc., Cupertino, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/9537 (2019.01); H04W 4/21 (2018.01); G06F 16/29 (2019.01); G06F 16/248 (2019.01); G06F 16/958 (2019.01); H04W 8/18 (2009.01); H04L 12/16 (2006.01); H04W 4/021 (2018.01); H04W 12/02 (2009.01); H04M 7/00 (2006.01); H04W 40/24 (2009.01); H04L 12/26 (2006.01);
U.S. Cl.
CPC ...
G06F 16/9537 (2019.01); G06F 16/248 (2019.01); G06F 16/29 (2019.01); G06F 16/958 (2019.01); H04L 12/16 (2013.01); H04L 43/106 (2013.01); H04M 7/0024 (2013.01); H04W 4/021 (2013.01); H04W 4/21 (2018.02); H04W 8/18 (2013.01); H04W 12/02 (2013.01); H04W 40/242 (2013.01);
Abstract

Applications may be tagged with location data when they are used. Mobile device may anonymously submit application usage data. Aggregated application usage data from many mobile devices may be analyzed to determine applications that are particularly relevant to a given location (i.e., exhibiting a high degree of localization). Analysis may include determining the application usage intensity, whether hotspots exist or not at a given location, the spatial entropy of a particular application, the device populations in a particular area, etc. Based on the localized application analysis, applications may be ranked according to local relevance, and, based on this ranking, application recommendations may be provided to a user.


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