SEUPD@CLEF: Team Kalu on improving Search Engine Performance with Query Expansion and Re-Ranking Approach

This report provides a detailed description of the search engine system designed by Team KALU for the Conference and Labs of the Evaluation Forum (CLEF) LongEval LAB 2024 Task 1. The team, composed of students from the University of Padua, developed this system to efficiently index, search, and retrieve documents. We begin by outlining the problem and then go on to describe our system which mainly works on a collection of documents written in French language, then we explain the various methodologies we implemented. We present our experimental results and analyze them according to the techniques we employed. Finally, We present the outcomes of our experiments and discuss the different techniques used.