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:
May. 10, 2016

Filed:

Apr. 18, 2013
Applicant:

Nimblecat, Inc., Fremont, CA (US);

Inventors:

Sunil Mehta, Fremont, CA (US);

David Meyer, Spanish Fork, UT (US);

Poonam Murgai, Fremont, CA (US);

David O. Seaver, Sunnyvale, CA (US);

Assignee:

Niimblecat, Inc., Fremont, CA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 15/16 (2006.01); H04L 29/08 (2006.01); G06Q 10/10 (2012.01); G06Q 50/00 (2012.01);
U.S. Cl.
CPC ...
H04L 67/306 (2013.01); G06Q 10/10 (2013.01); G06Q 50/01 (2013.01); Y02B 60/50 (2013.01);
Abstract

A social-mobile-local (SML) system and environment includes user mobile devices, a distributed communications network over which the devices communicate, a means of sensing proximity between pairs of mobile devices, and one or more SML databases and programs resident on the user mobile devices, on remote computers, or both. Challenges addressed include prevention of 'alert flooding,' privacy protection, credential verification, entering detailed data on mobile devices, power-saving, and improved quality in both the choice and the content of notifications. Solutions include the aggregation of online information about a user to create an aggregate profile, enabling the user to create multiple personas by selecting what information from the profile or from other sources to reveal to other users under which circumstances, enabling the user to broadcast 'wants' and preview what is available in the vicinity, linguistic analysis detecting nuanced correspondences between terms entered for wants and filtering out purely incidental word-matches, and adaptive algorithms to make the best use of battery power and other resources in dynamic surroundings.


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