Alcune delle sfide più stimolanti dell'AI applicata all'advertising.
La nostra ricerca è guidata da ricercatori del Politecnico di Milano e studia come misurare, ottimizzare e comprendere sistemi di marketing complessi in condizioni reali.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Safe online bid optimization with return-on-investment and budget constraints subject to uncertainty
14th European Workshop on Reinforcement Learning
When Gaussian processes meet combinatorial bandits: GCB
Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems
Driving exploration by maximum distribution in gaussian process bandits
International Workshop on Agent-Mediated Electronic Commerce
Internet advertising for non-stationary environments
Artificial Intelligence
Online joint bid/daily budget optimization of internet advertising campaigns
The World Wide Web Conference
Dealing with interdependencies and uncertainty in multi-channel advertising campaigns optimization
Proceedings of the AAAI Conference on Artificial Intelligence
A combinatorial-bandit algorithm for the online joint bid/budget optimization of pay-per-click advertising campaigns
2018 International Joint Conference on Neural Networks (IJCNN)
Targeting optimization for internet advertising by learning from logged bandit feedback