CORDIS Project
Funding breakdown and partner intelligence are Premium
Sign in and upgrade to Premium for EU contribution totals, consortium analytics, OpenAlex research context, and AI summaries. · 0 consortium intelligence fields visible of 1
Start free • Cancel anytime • 14-day refund guarantee
This project aims to enhance online auction bidding strategies by integrating algorithmic game theory with machine learning. The goal is to create a framework that can predict market responses and optimize bidding performance using incomplete historical data.
Nowadays, we witness that more and more information is stored and managed in a digital way.
Moreover, very often processes are executed and planed by computers.
This allows applying computer methods to optimize performance of our actions on an unprecedented scale.
This is clearly visible in the case of eCommerce, where the main arena of operation of companies is handled solely using computers.
Typically, machine learning tools and algorithms are widely used, e.g., for the prediction of user beha…
UNIWERSYTET WARSZAWSKI
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Similar projects, consortium collaboration history, frequent partners, and OpenAlex research context.
Guests see up to 5 EuroSciVoc fields.
Guests see up to 5 topics.