Aaron Chu from 2747 Paradise Rd UNIT 1003, Las Vegas, NV 89109, age 94

Resumes

Waiter

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Industry:

Food Production

Work:

Burger King Scandinavia
Waiter

Aaron Chu

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Aaron Chu

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Aaron Chu

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Sr. Project Manager At Moxie

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Position:

Sr. Project Manager at Moxie

Location:

Greater Los Angeles Area

Industry:

Marketing and Advertising

Work:

Moxie - Greater Los Angeles Area since Apr 2013
Sr. Project Manager
Siltanen + Partners - El Segundo, CA Nov 2011 - May 2012
Project Manager
Fraser Communications - West Los Angeles Aug 2011 - Oct 2011
Project Manager (freelance)
Direct Partners Aug 2010 - Oct 2010
Sr. Project Mgr.
Realtor.com - Westlake Village, CA Sep 2008 - Jun 2009
Project Manager

Skills:

Interactive Marketing
Digital Marketing
Integrated Marketing
Advertising
Project Management
Media Planning
New Media
Marketing Strategy
Digital Media
Interactive Advertising
Online Advertising
Sponsorship
Corporate Branding
Creative Direction
Marketing Communications
SEM
Email Marketing
Direct Mail
Organizational Effectiveness
Event Planning
Media Buying
Web Analytics
Information Architecture
Newsletters
Online Marketing
Brand Management
Digital Strategy
Direct Marketing
Creative Strategy
Management
Social Media
Art Direction
Graphic Design

Publications

Us Patents

Systems And Methods For Identifying Terms Relevant To Web Pages Using Social Network Messages

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US Patent:

8554854, Oct 8, 2013

Filed:

Dec 13, 2010

Appl. No.:

12/966921

Inventors:

Daniel Benyamin - Beverly Hills CA, US
Aaron Chu - Los Angeles CA, US
Michael Hall - Valencia CA, US

Assignee:

CitizenNet Inc. - Los Angeles CA

International Classification:

G06F 15/16

US Classification:

709206, 709207, 707731, 707748, 707771

Abstract:

Systems and methods for retrieving social network messages and/or web pages in response to search queries are described. One embodiment of the invention includes generating a word list from at least a portion of the content of the web page using a web and message server system, generating an initial list of relevant terms based upon the word list using the web and message server system, identifying additional relevant terms using messages posted to at least one social network based upon the initial list of relevant terms, and creating an updated list of relevant terms by using the web and server system to combine terms in the initial list of relevant terms with the additional relevant terms identified using messages posted to at least one social network.

Generation Of Advertising Targeting Information Based Upon Affinity Information Obtained From An Online Social Network

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US Patent:

8612293, Dec 17, 2013

Filed:

Oct 19, 2011

Appl. No.:

13/277209

Inventors:

Daniel Benyamin - Los Angeles CA, US
Aaron Chu - Los Angeles CA, US
Alex Pollock - Los Angeles CA, US
Michael Aaron Hall - Valencia CA, US
Arshavir Blackwell - West Hollywood CA, US

Assignee:

Citizennet Inc. - Los Angeles CA

International Classification:

G06Q 30/00

US Classification:

705 1454, 705 1453, 705 1466, 705 1449

Abstract:

Systems and methods for automatically generating targeting information for presentation of an offer via an online social network using affinity information collected concerning members of online social networks in accordance with embodiments of the invention are disclosed. One embodiment includes indexing member profiles within social networks for affinity to keywords using a targeting system that retrieves data concerning member profiles and activities from servers within an online social network, identifying member profiles that have affinity for at least one offer keyword using the targeting system and the index, identifying additional keywords for which the identified member profiles have affinity using the targeting system and the index, determining a set of keywords that target a desired audience based upon the identified additional keywords, and targeting presentation of advertisements for the specific offer to members of an online social network using the online social network and the targeting keywords.

Systems And Methods For Automatically Generating Campaigns Using Advertising Targeting Information Based Upon Affinity Information Obtained From An Online Social Network

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US Patent:

8615434, Dec 24, 2013

Filed:

Dec 20, 2011

Appl. No.:

13/331950

Inventors:

Daniel Benyamin - Los Angeles CA, US
Michael Aaron Hall - Valencia CA, US
Aaron Chu - Los Angeles CA, US
Arshavir Blackwell - West Hollywood CA, US

Assignee:

Citizennet Inc. - Los Angeles CA

International Classification:

G06Q 30/00

US Classification:

705 1454, 705 1466, 705 1453, 705 1449

Abstract:

Systems and methods for automatically targeting advertising on an online social network using affinity information collected concerning members of one or more online social networks in accordance with embodiments of the invention are disclosed. One embodiment of the invention includes a targeting server configured to obtain data from at least one server that forms part of an online social network, where the obtained data describes member profiles of members of the online social network and activities performed on the online social network associated with the member profiles. In addition, the targeting server is configured to detect affinities between a member profile and keywords based upon data describing activities associated with the member profile and to provide the targeting keywords to a server that is part of the online social network so that the online social network displays the specific offer to online social network members targeted using the targeting keywords.

Systems And Methods For Trend Detection Using Frequency Analysis

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US Patent:

20130036107, Feb 7, 2013

Filed:

Aug 7, 2012

Appl. No.:

13/568851

Inventors:

Daniel Benyamin - Los Angeles CA, US
Aaron Chu - Los Angeles CA, US

Assignee:

CitizenNet Inc. - Los Angeles CA

International Classification:

G06F 17/30

US Classification:

707709, 707E17059

Abstract:

Systems and methods for trend detection using frequency analysis in accordance with embodiments of the invention are disclosed. In one embodiment of the invention, trend detection includes generating a discrete time sequence of word counts for a target word using a trend detection device, performing frequency analysis of the discrete time sequence of word counts to determine contributions of frequency components within different frequency ranges to the discrete time sequence of word counts using the trend detection device, and detecting that the target word is a trending keyword based upon at least the frequency analysis of the discrete time sequence of word counts for the target word using the trend detection device.

Social Network Message Categorization Systems And Methods

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US Patent:

20130232154, Sep 5, 2013

Filed:

Apr 11, 2013

Appl. No.:

13/861128

Inventors:

Daniel Benyamin - Los Angeles CA, US
Aaron Chu - Los Angeles CA, US

Assignee:

CitizenNet Inc. - Los Angeles CA

International Classification:

G06F 17/30

US Classification:

707750, 707748

Abstract:

Systems and methods of identifying and categorizing social network messages that are relevant to selected categories and text terms are provided. The frequency of text terms appearing in social network messages are calculated for multiple categories. Based on the calculated text term frequency, social network messages can be identified and/or categorized that match a provided set of text terms. Selecting and/or associating text terms and categories are determined by repeatedly analyzing social network messages.