User Demographic and Interest Prediction

Addictive Mobility is the leading Big-Data online advertising company in Canada. It uses Real-Time Bidding (RTB) platform for online display advertising in mobile devices. In this domain, a number of companies compete with each other to display a specific Ad to a customer within a specific time. Thus, in such a competitive system, the goal is to develop and optimize such a system which can not only minimize the cost over the campaign period, but also send targeted ads to maximize the Return on Investment such as number of clicks or purchases.

User Profile generation for Mobile Ad Targeting

Personalized ad targeting is one of the most important features to ensure a successful advertising campaign---e.g., F-150 ford pickup trucks are best shown to construction workers than teenage girls. Another important aspect of ad personalization is frequency capping the ads. For example, showing the same ad 100 times to 1 user will result in not having any budget left over for others, and this can make or break an advertising campaign.

Big Data Processing and Analysis

Addictive Mobility is a leading (Big Data) online advertising company in Canada. They use real-time bidding (RTB) platform for online display advertising in mobile devices, where multiple companies compete to show a certain Ad to a specific user at a certain time. The goal is to optimize the system such that they minimize the cost over the campaign period but also send targeted ads to maximize return on investment such as number of clicks or purchases.

Big Data Processing and Analysis

Addictive Mobility is a leading online advertising company in Canada. The success of ad campaigns drives the majority of the company revenue. Exploring advanced machine-learning techniques to efficiently control an ad's performance is crucial to the company strategy. The objective of the proposed project is to optimize the real-time bidding system in the sense that delivery has been carried out in real-time and within a time-interval of 100 ms.