Using Quantum Computers to solve problems in Recommender Systems that classical
computers cannot address is a worthwhile research topic. In this paper, we use Quantum …

We present the models implemented by the NICA group for the Quantum Computing
(QuantumCLEF) Shared Task at CLEF 2024. Our participation focused on Task 1A: Feature …

This paper describes our participation in Task 2 of the QuantumCLEF lab, where we
explored the use of quantum annealing for clustering 6486 document embeddings. We …

Feature selection is a crucial step in Learning to Rank systems, focused on identifying the
most relevant features to either maintain or enhance model effectiveness while minimizing …

Quantum technologies are a reality today, and the future is bright regarding its capabilities
for real-world applications. Feature selection is a crucial preprocessing step in Information …

Abstract 2024 marks the 25 th birthday for CLEF, an evaluation campaign activity which has
applied the Cranfield evaluation paradigm to the testing of multilingual and multimodal …

Quantum has always gained considerable attention in scientific studies as it defies common
perception. Quantum Computing-recently evolving-has also started to gain considerable …

We describe the OpenWebSearch group's participation in the CLEF 2024 QuantumClef IR
Feature Selection track. Our submitted runs focus on the observation that the importance of …

This is a report on the fifteenth edition of the Conference and Labs of the Evaluation Forum
(CLEF 2024), held on September 9–12, 2024, in Grenoble, France. CLEF was a four-day …