Adaptive Seasonality Estimation for Campaign Optimization in Online Advertising

January 24, 2021

Abstract

This paper is concerned with the identification of seasonality in Internet user traffic of an advertising campaign, critical for optimal budget delivery and performance management. The seasonality typically manifests itself as a time-of-day (TOD) periodic pattern, which in this paper is modeled by a truncated Fourier series. An adaptive estimation scheme is proposed for the identification of the parameters, running alongside a feedback controller for the advertising campaign.

Download

Publication Type

Paper

Conference / Journal Name

ACC 2021

Authors

Jiaxing Guo

Qian Sang

Niklas Karlsson

BibTeX


@inproceedings{
    author = {},
    title = {‌Adaptive Seasonality Estimation for Campaign Optimization in Online Advertising‌},
    booktitle = {Proceedings of ACC 2021‌},
    year = {‌2021‌}
}