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
- 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.
Systems And Methods For Providing Entity Account Administrator Feeds
- Menlo Park CA, US James Donovan - San Francisco CA, US Gaurav Dosi - Emeryville CA, US Jason Eric Brewer - Kirkland WA, US Bradley Ray Green - Snohomish WA, US
International Classification:
G06F 17/30 H04L 12/58
Abstract:
Systems, methods, and non-transitory computer-readable media can select a set of selected pages from a plurality of pages on a social networking system based on page selection criteria. A set of potential stories from the set of selected pages is aggregated. The set of potential stories are ranked based on ranking criteria. An administrator feed associated with a first page is generated, the administrator feed comprising a plurality of stories from the set of potential stories based on the ranking the set of potential stories.
Systems And Methods For Pacing Page Recommendations
- Menlo Park CA, US Jonathan Daniel Sorg - Emeryville CA, US Bradley Ray Green - Snohomish WA, US Jason Eric Brewer - Kirkland WA, US
International Classification:
G06Q 50/00 G06Q 30/02 G06F 17/30
Abstract:
Systems, methods, and non-transitory computer-readable media can determine a plurality of candidate entities for recommendation to a user of a social networking system based on candidate criteria. A recommendation pace rating is determined for each of the plurality of candidate entities based on historical recommendation data. A first entity of the plurality of candidate entities is selected for recommendation to the user based on the recommendation pace ratings.
Systems And Methods For Predicting Page Activity To Optimize Page Recommendations
- Menlo Park CA, US Jonathan Daniel Sorg - Emeryville CA, US Bradley Ray Green - Snohomish WA, US Jason Brewer - Kirkland WA, US David Tomotsu Sasaki - San Francisco CA, US
International Classification:
G06Q 50/00
Abstract:
Systems, methods, and non-transitory computer-readable media can determine a plurality of candidate entities for recommendation to a user of a social networking system. A predicted activity objective value model configured to calculate activity stores for candidate entities is established. The activity score is indicative of the probability of future activity on the social networking system by a candidate entity. A first activity score is determined for each of the plurality of candidate entities based on the predicted activity object value model and a first set of feature values. A second activity score is determined for each of the plurality of candidate entities based on the predicted activity object value model and a second set of feature values that is different from the first set of feature values. A first entity is selected of the plurality of candidate entities based on the first and second activity scores.
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...