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 improve information retrieval systems by creating a new evaluation framework. It focuses on developing efficient testing resources and methodologies to adapt to diverse search environments, ensuring high-quality search experiences similar to those of major search engines.
Information Retrieval (IR) is a ubiquitous technology.
The range of tasks and information collections IR systems are applied to is ever growing.
However, the ability of researchers and developers to build high quality searching systems for new environments is not keeping up with the growth in potential application areas.
As a consequence, search system quality is degrading: users of bespoke systems expect a Google-like experience of swift high quality retrieval; instead they commonly get slow su…
THE UNIVERSITY OF SHEFFIELD
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 topics.