Smart Out-of-Home Advertising Using Artificial Intelligence and GIS Data

Nader Nader, Rafael Alexandrou, Iasonas Iasonos, Andreas Pamboris, Harris Papadopoulos, Andreas Konstantinidis

AAAI 2022 pp. 13206-13208

doi:10.1609/AAAI.V36I11.21729 /aaai/2022/nader2022aaai-smart/

Abstract

This demonstration paper introduces the Smart Out-of-Home Advertising Platform (SOAP), which leverages Geographic Information Systems (GIS) data and state-of-the-art Artificial Intelligence (AI) approaches to provide: (i) a documented, data-informed pricing model for billboards, which can be used to justify billboard prices to advertisers; and (ii) a set of non-dominated solutions (each corresponding to a different allocation of billboards to a given campaign) that explores the trade-offs between multiple conflicting objectives (e.g., cost and coverage). To the best of our knowledge, SOAP is the first to tackle such challenges in the context of Multi Objective Optimization (MOO).

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Cite

Text

Nader et al. "Smart Out-of-Home Advertising Using Artificial Intelligence and GIS Data." AAAI Conference on Artificial Intelligence, 2022. doi:10.1609/AAAI.V36I11.21729

Markdown

[Nader et al. "Smart Out-of-Home Advertising Using Artificial Intelligence and GIS Data." AAAI Conference on Artificial Intelligence, 2022.](https://mlanthology.org/aaai/2022/nader2022aaai-smart/) doi:10.1609/AAAI.V36I11.21729

BibTeX

@inproceedings{nader2022aaai-smart,
  title     = {{Smart Out-of-Home Advertising Using Artificial Intelligence and GIS Data}},
  author    = {Nader, Nader and Alexandrou, Rafael and Iasonos, Iasonas and Pamboris, Andreas and Papadopoulos, Harris and Konstantinidis, Andreas},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2022},
  pages     = {13206-13208},
  doi       = {10.1609/AAAI.V36I11.21729},
  url       = {https://mlanthology.org/aaai/2022/nader2022aaai-smart/}
}