Invention Grant
- Patent Title: Online techniques for parameter mean and variance estimation in dynamic regression models
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Application No.: US15268131Application Date: 2016-09-16
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Publication No.: US10404566B2Publication Date: 2019-09-03
- Inventor: Carlos A. Gomez-Uribe
- Applicant: NETFLIX, INC.
- Applicant Address: US CA Los Gatos
- Assignee: NETFLIX, INC.
- Current Assignee: NETFLIX, INC.
- Current Assignee Address: US CA Los Gatos
- Agency: FisherBroyles, LLP
- Main IPC: H04L12/26
- IPC: H04L12/26 ; H04L29/08 ; G06Q30/02

Abstract:
A system of assessing deployments in a network-based media system is provided herein. The system include a data storage system storing observation vectors, each observation vector being associated with an outcome indicator, and a processing device in communication with the data storage system to receive and store observation vectors and associated outcome indicators. The processing device performs operations including communicating with an endpoint device of a user to obtain information associated with the endpoint device; and transmitting an instance of a variable user interface to the endpoint device for presentation to the user via the endpoint device based on the stored observation vectors, the stored associated outcome indicators, and the obtained information associated with the endpoint device. Related systems and methods are also disclosed.
Public/Granted literature
- US20170264521A1 Online Techniques for Parameter Mean and Variance Estimation In Dynamic Regression Models Public/Granted day:2017-09-14
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