Our paper, titled “Lost and Found: Predicting Airline Baggage At-risk of Being Mishandled” has won the ICAART 2020 best industrial paper award! You can download the final author version here.
Very proud that our PhD student, Reza Refaei Afshar, has received the Best Student Paper Award for his work presented at the 11th International Conference on Agents and Artificial Intelligence held on 19 – 21 February, in Prague, Czech Republic. The paper titled “A Reinforcement Learning Method to Select Ad Networks in Waterfall Strategy” was co-authored by me, Murat Firat and Uzay Kaymak.
Nowadays, one of the most important sources of income for publishers who own websites is through online advertising (online ADs). For online publishers, it is difficult to design good strategies to manage their online AD auction systems due to highly dynamic real-time bidding environment. This paper proposes a machine learning based decision support system for publishers, which is built from historical AD auction data. The proposed method demonstrates its effectiveness in terms of the increased expected revenue for publishers.
The paper is available at: https://research.tue.nl/en/publications/a-reinforcement-learning-method-to-select-ad-networks-in-waterfal
Very happy that my paper “Fair task allocation in transportation”, co-authored with Charlie Ye and Rommert Dekker, was selected by Omega as “Best Paper Award for 2017”!
In this paper, we point out that in many cases, such as those in Sharing Economy, when allocating tasks and resources, cost should not be the major consideration. Distributing tasks/resources in a fair way among players is a more socially desired outcome. For achieving such outcomes, we design an efficient algorithm. We show by experiments that fairness often comes with a very small price in terms of cost. Check the paper out if you are interested!