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Troy E Mccabe, 363473 Lake Shore Dr, Chaska, MN 55318

Troy Mccabe Phones & Addresses

3473 Lake Shore Dr, Chaska, MN 55318   

Eden Prairie, MN   

Eagan, MN   

Olathe, KS   

Minneapolis, MN   

Upland, CA   

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Troy Mccabe resumes & CV records

Resumes

Troy Mccabe Photo 36

Technical Tools Lead Web Application Developer

Location:
3473 Lake Shore Dr, Chaska, MN 55318
Industry:
Computer Software
Work:
Best Buy since May 2010
Technical Tools Web Engineer
VISI Feb 2009 - May 2010
Application Developer
Best Buy Nov 2008 - Feb 2009
Jr. Services Analyst
Best Buy Aug 2007 - Nov 2008
Web Application Developer
Education:
Kansas State University 2006 - 2007
Skills:
Javascript, Php, Mysql, Web Applications, Css, Html, Microsoft Sql Server, Web Development, Java, C#, Sql, Jquery, Android, Objective C, Database Design
Interests:
Html
Css
Php
Javascript
Mysql
Mssql
Net
Languages:
English
Spanish
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Troy Mccabe

Troy Mccabe Photo 38

Troy Mccabe

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Troy Mccabe

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Troy Mccabe

Publications & IP owners

Us Patents

Comparable Product Matching: System And Method

US Patent:
2014025, Sep 11, 2014
Filed:
Mar 11, 2013
Appl. No.:
13/792274
Inventors:
Troy E. McCabe - Eagan MN, US
Trent M. Kannenberg - Prior Lake MN, US
Assignee:
BBY SOLUTIONS, INC. - Richfield MN
International Classification:
G06Q 30/06
US Classification:
705 2664
Abstract:
A method and system for matching a basis product with products in the inventory of a provider (e.g., a retailer) that have related functionality. Characteristics of the basis product may be known from its product identifier, or may be specified. Goodness scores for candidate products may be based on similarity of characteristics with those of the basis product. Availability and consumer preferences may be taken into account in assigning goodness scores. Candidates may be drawn from those in inventory having the same type as the basis product, or a type having one or more similar functional aspects. Values of characteristics may require reformatting and/or normalization to facilitate comparison. A list of candidates, ranked by goodness scores, may be prepared.

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