Efficient Algorithms for Regret Minimization in Billboard Advertisement (Student Abstract)
DOI:
https://doi.org/10.1609/aaai.v37i13.26934Keywords:
Billboard Advertisement, Regret, Influence ProviderAbstract
Now-a-days, billboard advertisement has emerged as an effective outdoor advertisement technique. In this case, a commercial house approaches an influence provider for a specific number of views of their advertisement content on a payment basis. If the influence provider can satisfy this then they will receive the full payment else a partial payment. If the influence provider provides more or less than the demand then certainly this is a loss to them. This is formalized as ‘Regret’ and the goal of the influence provider will be to minimize the ‘Regret’. In this paper, we propose simple and efficient solution methodologies to solve this problem. Efficiency and effectiveness have been demonstrated by experimentation.Downloads
Published
2024-07-15
How to Cite
Ali, D., Bhagat, A. K., Banerjee, S., & Prasad, Y. (2024). Efficient Algorithms for Regret Minimization in Billboard Advertisement (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 37(13), 16148-16149. https://doi.org/10.1609/aaai.v37i13.26934
Issue
Section
AAAI Student Abstract and Poster Program