26 research outputs found
Satellite Networks: Architectures, Applications, and Technologies
Since global satellite networks are moving to the forefront in enhancing the national and global information infrastructures due to communication satellites' unique networking characteristics, a workshop was organized to assess the progress made to date and chart the future. This workshop provided the forum to assess the current state-of-the-art, identify key issues, and highlight the emerging trends in the next-generation architectures, data protocol development, communication interoperability, and applications. Presentations on overview, state-of-the-art in research, development, deployment and applications and future trends on satellite networks are assembled
Estimating user interaction probability for non-guaranteed display advertising
Billions of advertisements are displayed to internet users every hour, a market worth approximately $110 billion in 2013. The process of displaying advertisements to internet users is managed
by advertising exchanges, automated systems which match advertisements to users while balancing
conflicting advertiser, publisher, and user objectives. Real-time bidding is a recent development in
the online advertising industry that allows more than one exchange (or demand-side platform) to
bid for the right to deliver an ad to a specific user while that user is loading a webpage, creating
a liquid market for ad impressions. Real-time bidding accounted for around 10% of the German
online advertising market in late 2013, a figure which is growing at an annual rate of around 40%.
In this competitive market, accurately calculating the expected value of displaying an ad to a user
is essential for profitability.
In this thesis, we develop a system that significantly improves the existing method for estimating
the value of displaying an ad to a user in a German advertising exchange and demand-side platform.
The most significant calculation in this system is estimating the probability of a user interacting
with an ad in a given context. We first implement a hierarchical main-effects and latent factor
model which is similar enough to the existing exchange system to allow a simple and robust upgrade
path, while improving performance substantially. We then use regularized generalized linear models
to estimate the probability of an ad interaction occurring following an individual user impression
event. We build a system capable of training thousands of campaign models daily, handling over 300
million events per day, 18 million recurrent users, and thousands of model dimensions. Together,
these systems improve on the log-likelihood of the existing method by over 10%.
We also provide an overview of the real-time bidding market microstructure in the German real-
time bidding market in September and November 2013, and indicate potential areas for exploiting
competitors’ behaviour, including building user features from real-time bid responses. Finally,
for personal interest, we experiment with scalable k-nearest neighbour search algorithms, nonlinear
dimension reduction, manifold regularization, graph clustering, and stochastic block model inference
using the large datasets from the linear model
Undergraduate and Graduate Course Descriptions, 2021 Summer
Wright State University undergraduate and graduate course descriptions from Summer 2021
Semester Courses and Course Equivalents: Graduate Courses Summary
A list comprised of summaries of all graduate courses and course equivalents at Wright State University
Undergraduate and Graduate Course Descriptions, 2016 Fall
Wright State University undergraduate and graduate course descriptions from Fall 2016
Undergraduate and Graduate Course Descriptions, 2013 Summer
Wright State University undergraduate and graduate course descriptions from Summer 2013
Undergraduate and Graduate Course Descriptions, 2013 Summer
Wright State University undergraduate and graduate course descriptions from Summer 2013
Undergraduate and Graduate Course Descriptions, 2017 Fall
Wright State University undergraduate and graduate course descriptions from Fall 2017
Undergraduate and Graduate Course Descriptions, 2018 Spring
Wright State University undergraduate and graduate course descriptions from Spring 2018