Curtis A Wolfe

US Patent:

20090254421, Oct 8, 2009

Filed:

Apr 3, 2009

Appl. No.:

12/417979

Inventors:

Curtis Wolfe - Miami FL, US

Assignee:

WCIS MEDIA LLC - Boca Raton FL

International Classification:

G06Q 99/00
G06Q 30/00

US Classification:

705 10, 705 14

Abstract:

A method of matching potential customers to attorneys utilizes a computerized system that functions over the Internet. Records corresponding to the attorneys and categories in which the attorneys practice are stored in a database. A series of questions regarding a legal claim are presented to the potential customer via a web browser. The potential customer answers a series of “yes” or “no” questions to determine if they may have a valid legal claim. If it does appear they have a valid claim, the potential customer is assigned one or more categories. The customer is then presented an advertisement for one or more attorneys that practice in the category that matches the assigned category for the customer.

US Patent:

8577876, Nov 5, 2013

Filed:

Jul 19, 2011

Appl. No.:

13/135965

Inventors:

Dmitry Kozko - Aventura FL, US
Ivan Onuchin - Hollywood FL, US
Nikolay Shturkin - Yekaterinburg, RU
Curtis Wolfe - Miami FL, US

Assignee:

Met Element, Inc. - North Miami Beach FL

International Classification:

G06F 17/30

US Classification:

707723, 707737, 707748

Abstract:

A system and method of the present invention present a web based music station. The system includes a website having at least two engine components such as a table of a playlist and a table of a content references. A system includes a controller with an algorithm incorporated therein. The algorithm is configured to retrieve various images and music pre-stored in the controller and presents these images and the music to the users. The system tries to reconstruct the “logical priority chains” of user perception as it relates to both the music and the images. The system then clusterizes picks of the music and the images and the users. The system then binds both music and images together using non-linear mapping to determine preference of each user.