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:
Jul. 21, 2015

Filed:

Mar. 31, 2011
Applicants:

Nagaraju Bandaru, Menlo Park, CA (US);

Nirmala Ranganathan, Saratoga, CA (US);

Nivethitha Kumar, Sunnyvale, CA (US);

Ralph Emerson Matlack, San Jose, CA (US);

Inventors:

Nagaraju Bandaru, Menlo Park, CA (US);

Nirmala Ranganathan, Saratoga, CA (US);

Nivethitha Kumar, Sunnyvale, CA (US);

Ralph Emerson Matlack, San Jose, CA (US);

Assignee:

Intuit Inc., Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2006.01); G06F 3/00 (2006.01); G06F 17/24 (2006.01); G06F 17/30 (2006.01); G06F 17/21 (2006.01);
U.S. Cl.
CPC ...
G06F 17/248 (2013.01); G06F 17/212 (2013.01); G06F 17/3089 (2013.01);
Abstract

A method including identifying a business category of a business related to a user, obtaining multiple website analytics data items from multiple websites related to multiple business in the business category, evaluating the multiple website analytics data items to generate multiple website templates for the user, providing the multiple website templates to the user, receiving a selection from the user of a website template from the multiple website templates, receiving website content for a user website from the user, evaluating the multiple website analytics data items and the website content to generate multiple recommendations for the user website, providing the multiple recommendations for the user website to the user, receiving multiple recommendation approvals of the multiple recommendations for the user website from the user, and generating the user website based on the website content, the website template, and the multiple recommendation approvals.


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