Machine learning based ad-click prediction system

Abstract

Online advertising is a gargantuan commerce and has potential for rapid growth. This paper presents novel approach of solving the advertisement prediction problem. The aim of this research is to predict an ad-click through various machine learning techniques and to compare their accuracy rates. This, would help the advertisers use the appropriate technique to increase their overall revenue through targeted advertising. The combination of features used, makes this research unique.