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

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

[AAAI-22] Demonstrations
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).

Sessions where this paper appears

  • Poster Session 4

    Fri, February 25 5:00 PM - 6:45 PM (+00:00)
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  • Poster Session 11

    Mon, February 28 12:45 AM - 2:30 AM (+00:00)
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