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David S Susi, 39Brooklyn, NY

David Susi Phones & Addresses

Brooklyn, NY   

8 Grandview Ave APT 1, Medford, MA 02155    781-3965889   

Freeport, NY   

8 Grandview Ave, Medford, MA 02155    781-3965889   

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Us Patents

Systems And Methods For Dynamic Media Content Streaming

US Patent:
2023000, Jan 12, 2023
Filed:
Jul 11, 2022
Appl. No.:
17/862286
Inventors:
- Stockholm, SE
David Saverio SUSI - Brooklyn NY, US
Aron Patrick GLENNON - Cape Elizabeth ME, US
Yi YUAN - Jersey City NJ, US
Lan XU - Jersey City NJ, US
Yin Kwan CHUNG - New York NY, US
Gautham Padmanabhan NAIR - New York NY, US
Jiming SHI - Princeton NJ, US
Raj Kumar RAJENDRAN - New York NY, US
International Classification:
H04L 65/61
Abstract:
A server determines, at a first predetermined time, a default decision as to whether to provide a first media content clip after the end of a first media content item. At a second predetermined time, after the first predetermined time, the server initiates a determination of a first decision as to whether to provide the first media content clip after the end of the first media content item. In accordance with the first decision being reached within a predetermined latency period, the server provides the first media content clip to the first electronic device in accordance with the first decision. In accordance with a determination that the predetermined latency period has elapsed without the first decision being reached, provides the first media content clip to the first electronic device in accordance with the default decision.

Ad Preference Embedding Model And Lookalike Generation Engine

US Patent:
2019035, Nov 21, 2019
Filed:
May 16, 2019
Appl. No.:
16/414393
Inventors:
- Stockholm, SE
Zachary W. Nichols - Long Island City NY, US
Jeremiah M. Cohen - New York NY, US
David S. Susi - Brooklyn NY, US
International Classification:
G06Q 30/02
G06N 20/00
Abstract:
Methods, systems and computer program products for automating the association of messages. Data points associated with at least one client device associated with an identifier are logged into an activity database. Labels corresponding to message records are retrieved. Message-signal values representing behavior associated with at least a subset of the message records are also retrieved. The labels are merged with the message-signal values to generate a signal-label collection. A signal-label model is trained based on the signal-label collection, thereby generating a trained signal-label model. A mapping of the one or more activity data points and the plurality of labels are then generated. The embedding that is generated can then be used to find custom audiences.

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