MC/DJ at Fingerlakes Entertainment, IT, Network Administrator at Department of Social Services
Location:
Penn Yan, New York
Industry:
Entertainment
Work:
Fingerlakes Entertainment since Jan 2007
MC/DJ
Department of Social Services since Feb 2005
IT, Network Administrator
Education:
American InterContinental University 2013 - 2015
BIT, System, Networking, and LAN/WAN Management/Manager
American Intercontinnental University, Online 2004 - 2006
Business, Business Administration/Management
Skills:
Entertainment Weddings Event Planning Corporate Events Music Radio Mac Public Relations Public Speaking Marketing Web Design Social Media
Larlham Landscape co Charlestown, RI Apr 2011 to Dec 2011Kaiser Tree Preservation Exeter, RI Mar 2008 to Dec 2010 Climber/Rigger/Bucket operator/Tree Doctor/Insect ControlOld Town Tree North Kingstown, RI Apr 2007 to Mar 2008 Co-owner-Climber/rigger/driverSeascape Lawn Care Coventry, RI Mar 2005 to Mar 2005 Head mechanic/irrigator
Education:
Ohio Technical College Cleveland, OH Sep 2002 to May 2003 mechanical
Name / Title
Company / Classification
Phones & Addresses
Mr Jason Brewer Owner
Top Choice Automotive Auto Repair & Service
10 Timothy Avenue, Unit 12, Hanwell, NB E3C 2B8 5064549090
- Menlo Park CA, US Daniel Jeng-Ping Hui - Palo Alto CA, US Mao Xue - Fremont CA, US Jason Brewer - Kirkland WA, US Justin Moore - Brooklyn NY, US Keegan Jones - San Francisco CA, US
International Classification:
H04L 29/08
Abstract:
Particular embodiments detect an indication of an event that is initiated on an online social network by a user and that is related to an entity associated with an activity that the user has engaged in. Based on the received indication, a social-networking system sends the user a request for follow-up information about the activity. After the follow-up information is received, the social-networking system retrieves contacts of the user and identifies contacts that have engaged in social activities on the online social network related to the entity. Recommendations for the entity are then sent to those identified contacts.
Eliciting Event-Driven Feedback In A Social Network
- Menlo Park CA, US Daniel Jeng-Ping Hui - Palo Alto CA, US Mao Xue - Fremont CA, US Jason Brewer - Kirkland WA, US Justin Moore - Brooklyn NY, US Keegan Jones - San Francisco CA, US
International Classification:
H04L 29/08
Abstract:
Particular embodiments detect events associated with information about activities that a user has engaged in. The activities may be associated with a location or location-agnostic. Based on the received information, the social-networking system sends the user a request for follow-up information after an appropriate time delay. The time delay may vary based on the user activity and the context of the event that triggered the request. After the follow-up information is received, such information is stored in the social-networking system and may be used to determine recommendations, sponsored stories, advertisements, etc. to send to friends of the user. The information may also be used for ranking or filtering recommendations.
Eliciting Event-Driven Feedback In A Social Network
- Menlo Park CA, US Daniel Jeng-Ping Hui - Palo Alto CA, US Mao Xue - Fremont CA, US Jason Brewer - Kirkland WA, US Justin Moore - Brooklyn NY, US Keegan Jones - San Francisco CA, US
International Classification:
H04L 29/08
Abstract:
Particular embodiments detect events associated with information about activities that a user has engaged in. The activities may be associated with a location or location-agnostic. Based on the received information, the social-networking system sends the user a request for follow-up information after an appropriate time delay. The time delay may vary based on the user activity and the context of the event that triggered the request. After the follow-up information is received, such information is stored in the social-networking system and may be used to determine recommendations, sponsored stories, advertisements, etc. to send to friends of the user. The information may also be used for ranking or filtering recommendations.
Joshua Williams - Menlo Park CA, US Daniel Jeng-Ping Hui - Palo Alto CA, US Mao Xue - Fremont CA, US Jason Brewer - Kirkland WA, US Justin Moore - Brooklyn NY, US Keegan Jones - San Francisco CA, US
International Classification:
H04L 29/08
US Classification:
709204
Abstract:
Particular embodiments detect events associated with information about activities that a user has engaged in. The activities may be associated with a location or location-agnostic. Based on the received information, the social-networking system sends the user a request for follow-up information after an appropriate time delay. The time delay may vary based on the user activity and the context of the event that triggered the request. After the follow-up information is received, such information is stored in the social-networking system and may be used to determine recommendations, sponsored stories, advertisements, etc. to send to friends of the user. The information may also be used for ranking or filtering recommendations.
Alpharetta, GARPSGT/Nighttime Clinical Supervisor at Sleep Disor... For the past 9 years I have worked as a sleep tech. In December of 2002, I passed the required testing to become a Registered Polysomonographic Technologist... For the past 9 years I have worked as a sleep tech. In December of 2002, I passed the required testing to become a Registered Polysomonographic Technologist (RPSGT). My career in sleep began with a small lab in Macon and moved quickly to the Atlanta/North Georgia area where I worked in small labs...