A Novel Methodology for Online AdvertisingCampaigns Optimization

 

1. Abstract 중

To configure a campaign properly it is required to select the appropriate target, so it is guaranteed a high acceptance of users to adverts. It is also required that the number of visits that satisfy the configuration requirements is high enough to cover the advertisers’ campaigns.

 

Thus, this paper aims to present a novel methodology for online advertising campaigns optimization by using genetic algorithms as the main optimization method, and a machine learning model of the click-through rate (CTR) as part of the fitness function.