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. 10, 2013

Filed:

Nov. 12, 2012
Applicant:

State Farm Mutual Automobile Insurance Company, Bloomington, IL (US);

Inventors:

Andrew Reeser, Heyworth, IL (US);

Shawn M. Call, Bloomington, IL (US);

Stacy L. Kennedy, Bloomington, IL (US);

Lee C. Drinan, Bloomington, IL (US);

Lisa A. Frey, Normal, IL (US);

Kevin Payne, Lexington, IL (US);

Michael Jacob, Le Roy, IL (US);

Assignee:
Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2006.01); G06N 5/02 (2006.01); G06Q 30/00 (2012.01);
U.S. Cl.
CPC ...
Abstract

A method, system, and computer-readable medium that facilitate the reception of usage data about the utilization of an intelligent home system and recommend intelligent home system products based on the usage data. The method, system, and computer-readable medium facilitate the analysis of the usage data to determine whether to recommend intelligent home system products and which, if any, intelligent home system products to recommend. Recommendations may be generated by comparing the usage data to an updated products list or an upgraded products list. Recommendations may be generated by comparing the usage data to a similar products list. The similar products list may be generated by analyzing previously received usage data to determine which products are often used together. Recommendations may be generated by comparing the usage data to a similar customers list. The similar customers list may be generated by analyzing previously received usage data to determine which products are used by other, similar users. Recommendations may be presented to a user if the intelligent home system.


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