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Jonathan Warden Phones & Addresses

  • Park City, UT
  • Midway, UT
  • Los Angeles, CA
  • Newtown, PA
  • Chicago, IL
  • Orem, UT
  • Burbank, CA

Work

Company: Datapop 2008 to 2012 Address: Hong Kong / Los Angeles Position: Vp engineering / chief architect

Education

Degree: EMBA (Hong Kong) School / High School: The University of Western Ontario - Richard Ivey School of Business 2007 to 2009

Skills

Agile Methodologies • Sem • Product Management • Entrepreneurship • Architecture • Leadership • Product Development • Natural Language Processing • Crowdsourcing • Machine Learning • Functional Programming • Scalable Architecture • Scalability • Javascript • Java • Mongodb • Perl • Object Oriented Design • Enterprise Architecture • Information Architecture • Big Data • Leading Development Teams • Test Driven Development • Software Architectural Design • Programming Language Theory • Linguistics • Corpus Linguistics • Web Design • Online Advertising • Technical Recruiting • Financial Analysis • Trading Systems • Ergonomics • User Experience • Cloud Applications • Amazon Ec2 • It Outsourcing • Cross Cultural Teams • Management • Engineering Management • Software Operations • Search Marketing • Computational Linguistics • Data 2.0 • Ip Development • Ml and Nlp • Open Source • Jquery • Coding • Software Development

Languages

English • French • Spanish • Mandarin • Japanese

Interests

Web Search • Mobile • Clean Technology • Marketing • Western University • Hong Kong • Health Care • Yahoo • Consumer Internet • Cities and Metro Areas • Enterprise Software • Advertising and Advertisements

Industries

Internet

Resumes

Resumes

Jonathan Warden Photo 1

Jonathan Warden

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Location:
1117 Woodside Ave, Park City, UT 84060
Industry:
Internet
Work:
DataPop - Hong Kong / Los Angeles 2008 - 2012
VP Engineering / Chief Architect

Yahoo! - Hong Kong 2004 - 2008
Head of Sales Engineering and Regional Monetization Products

Overture Services, Inc. - Pasadena, CA / Tokyo, Japan 2004 - 2006
Senior Developer, Direct Technical Services

Shazam Publishing - Los Angeles, CA 2003 - 2004
Founder

Newchester Consulting - Chicago, IL 2000 - 2003
Founder
Education:
The University of Western Ontario - Richard Ivey School of Business 2007 - 2009
EMBA (Hong Kong)
Illinois Institute of Technology 1996 - 2000
BS, Computer Science
Ecole nationale supérieure de l'Electronique et de ses Applications 1998 - 1998
Coursework in Computer Science
Universidad Politécnica de Valencia 1998 - 1998
Coursework in Computer Science, Cryptographyh
Skills:
Agile Methodologies
Sem
Product Management
Entrepreneurship
Architecture
Leadership
Product Development
Natural Language Processing
Crowdsourcing
Machine Learning
Functional Programming
Scalable Architecture
Scalability
Javascript
Java
Mongodb
Perl
Object Oriented Design
Enterprise Architecture
Information Architecture
Big Data
Leading Development Teams
Test Driven Development
Software Architectural Design
Programming Language Theory
Linguistics
Corpus Linguistics
Web Design
Online Advertising
Technical Recruiting
Financial Analysis
Trading Systems
Ergonomics
User Experience
Cloud Applications
Amazon Ec2
It Outsourcing
Cross Cultural Teams
Management
Engineering Management
Software Operations
Search Marketing
Computational Linguistics
Data 2.0
Ip Development
Ml and Nlp
Open Source
Jquery
Coding
Software Development
Interests:
Web Search
Mobile
Clean Technology
Marketing
Western University
Hong Kong
Health Care
Yahoo
Consumer Internet
Cities and Metro Areas
Enterprise Software
Advertising and Advertisements
Languages:
English
French
Spanish
Mandarin
Japanese

Business Records

Name / Title
Company / Classification
Phones & Addresses
Jonathan Warden
Founder
Newchester Consulting
Computer Programming Services
2819 S. Wells St. Unit 1, Chicago, IL 60616
Jonathan Warden
Founder
Newchester Consulting
Computer Programming Services
2819 S. Wells St. Unit 1, Chicago, IL 60616

Publications

Us Patents

Taxonomy Based Targeted Search Advertising

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US Patent:
20130297419, Nov 7, 2013
Filed:
Jul 3, 2013
Appl. No.:
13/934608
Inventors:
Jonathan Warden - Chicago IL, US
International Classification:
G06Q 30/02
US Classification:
705 1454
Abstract:
Campaign creation systems and methods for building taxonomy based targeted search advertising campaigns in accordance with embodiments of the invention are disclosed. One embodiment of the invention includes obtaining source data describing a plurality of landing pages, obtaining a list of keywords using the campaign creation server system, where the list of keywords comprises keyword component, building a taxonomy using the source data and the initial list of keywords, where the taxonomy uniquely maps the plurality of landing pages to categories and attributes and maps the keyword components to the categories and attributes, mapping keywords to relevant offers based on the taxonomy, automatically generating adgroups based on the offers and relevant keywords, where each adgroup includes a landing page, at least one creative and at least one keyword, and deploying the adgroups to a search engine provider.

Taxonomy Based Targeted Search Advertising

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US Patent:
20120239488, Sep 20, 2012
Filed:
Mar 19, 2012
Appl. No.:
13/424373
Inventors:
John Zimmerman - Los Angeles CA, US
Jonathan Warden - Los Angeles CA, US
Assignee:
DataPop, Inc. - Hollywood CA
International Classification:
G06Q 30/02
US Classification:
705 1441, 705 1449
Abstract:
Campaign creation systems and methods for building taxonomy based targeted search advertising campaigns in accordance with embodiments of the invention are disclosed. One embodiment of the invention includes obtaining source data describing a plurality of landing pages, obtaining a list of keywords using the campaign creation server system, where the list of keywords comprises keyword component, building a taxonomy using the source data and the initial list of keywords, where the taxonomy uniquely maps the plurality of landing pages to categories and attributes and maps the keyword components to the categories and attributes, mapping keywords to relevant offers based on the taxonomy, automatically generating adgroups based on the offers and relevant keywords, where each adgroup includes a landing page, at least one creative and at least one keyword, and deploying the adgroups to a search engine provider.

Informed Consensus Determination Among Multiple Divergent User Opinions

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US Patent:
20220277403, Sep 1, 2022
Filed:
Feb 28, 2022
Appl. No.:
17/682400
Inventors:
- Park City UT, US
Jonathan Robert Warden - Park City UT, US
Assignee:
Deliberati LLC - Park City UT
International Classification:
G06Q 50/00
G06F 40/30
Abstract:
The disclosed systems and methods can produce an informed consensus among multiple different opinions or preferences that can be presented in social media posts and online polls. Such an informed consensus can identify an opinion, assertion, and/or decision from among a plurality of different opinions, and can do so in a way that is more accurate, reliable, and representative of group preferences. The method can include receiving poll results having a first group and a second group, receiving comments to the poll, and identifying, based on reactions to the comments and the poll results, a comment associated with users of the second group as a critical comment, and bringing this comment to attention of users in the first group. The method can also include determining, based on the responses of users who saw or did not see the critical comment, the deliberative consensus or informed consensus of the poll.

Systems And Methods For The Enhancement Of Semantic Models Utilizing Unstructured Data

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US Patent:
20140278985, Sep 18, 2014
Filed:
Feb 13, 2014
Appl. No.:
14/180204
Inventors:
- Los Angeles CA, US
Jonathan Warden - Park City UT, US
Behzad Zamanzadeh - Tarzana CA, US
Assignee:
DataPop, Inc. - Los Angeles CA
International Classification:
G06Q 30/02
US Classification:
705 1454
Abstract:
Campaign creation systems and methods for enhancing semantic models using unstructured data in accordance with embodiments of the invention are disclosed. In one embodiment, a campaign creation server system a semantic model enhancement application configuring a processor to obtain unstructured data, parse the unstructured data into parsed data, where the parsed data includes at least one piece of token data including at least one word and at least one relationship, identify at least one token not present in a semantic model, when the token is determined to be a value, identify relevant attributes within the token based on the at least one relationship in the token, when the token is determined to be a category, identify at least one parent category in the semantic model based on the at least one relationship, and update the semantic model based on the identified at least one token.

Systems And Methods For Scoring Keywords And Phrases Used In Targeted Search Advertising Campaigns

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US Patent:
20140257973, Sep 11, 2014
Filed:
Mar 11, 2013
Appl. No.:
13/792909
Inventors:
- Los Angeles CA, US
Cartic Ramakrishnan - Los Angeles CA, US
Jonathan Warden - Chicago IL, US
Man Chiu Hon - Alhambra CA, US
Assignee:
DataPop, Inc. - Los Angeles CA
International Classification:
G06Q 30/02
US Classification:
705 1445, 705 1441
Abstract:
Systems and methods for scoring phrases and keywords utilized in the generation of targeted search advertising campaigns in accordance with embodiments of the invention are disclosed. In one embodiment, a keyword and phrase scoring device includes a processor, a keyword and phrase scoring application, phrase key data, and language model performance data including category and attribute data with associated keywords and keyword performance data, wherein the keyword and phrase scoring application configures the processor to obtain a plurality of unscored keywords, identify keyword patterns in a portion of the plurality of unscored keywords, generate a keyword model based on a set of key columns, create a training language model incorporating phrase key data from the key columns using category and attribute data within the language model performance data, and score the plurality of unscored keywords based on the keyword model and the training language model.

Taxonomy Based Targeted Search Advertising

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US Patent:
20140229281, Aug 14, 2014
Filed:
Apr 16, 2014
Appl. No.:
14/254541
Inventors:
- LOS ANGELES CA, US
Jonathan Warden - Park City UT, US
Assignee:
DATAPOP, INC. - LOS ANGELES CA
International Classification:
G06Q 30/02
US Classification:
705 1454
Abstract:
One embodiment of the invention includes automatically generating adgroups for use in a search advertising by obtaining source data describing a set of product data describing a set of products, obtaining a list of initial keywords, obtaining a taxonomy based on the source data and the initial list of keywords, identifying a set of category data based on the source data and the taxonomy, where an identified category in the set of category data classifies at least one piece of product data based on the attribute-value pairs for the piece of product data and keyword components within the taxonomy, identifying one or more landing pages that are relevant to at least one piece of product data based on the set of product data and the set of category data, and automatically generating adgroups comprising the identified set of category data, product data, and the identified landing pages.
Jonathan R Warden from Park City, UT, age ~45 Get Report