As the online advertising landscape continues to rapidly evolve, so too does the research that studies it. Vahab Mirrokni, a professor at the Courant Institute of Mathematical Sciences at New York University and one of the world’s leading researchers in the field of online advertising, is at the forefront of this evolution.
In a recent interview, Mirrokni discusses some of the latest trends in online advertising research, including robustness, automation, and learning.
On the topic of robustness, Mirrokni notes that “a lot of changes are happening in the online advertising ecosystem and different actors are trying to game the system for their own benefit.” As a result, he says, there is a need for “more robust methods that can take into account all these different types of gaming and still produce good results.”
One way to achieve robustness is through automation. Mirrokni explains that “there are certain things that can be automated in online advertising, such as bidding and optimization.” This can help to reduce human error and improve results.
Finally, Mirrokni notes that machine learning is playing an increasingly important role in online advertising research. He says that “machine learning techniques can be used to automatically learn new models for optimizing ad campaigns.” This allows for more flexible and effective optimization strategies.
Mirrokni’s research is helping to shape the future of online advertising. His work on robustness, automation, and learning is helping to make online advertising more effective and efficient.
