SEUPD@CLEF: Team QEVALS on Information Retrieval Adapted to the Temporal Evolution of Web Documents

This report presents the work conducted by our team for LongEval-Retrieval Task 1 [1] in CLEF 2023 [2]. The primary objective of this task is to develop an information retrieval system that can effectively adapt to the temporal evolution of Web documents. Using the Longeval Websearch collection provided by the commercial search engine Qwant[3], our team has built a retrieval system that addresses the challenges posed by the changing nature of Web documents and user search preferences. This paper discusses our approach to the subtasks of short-term persistence and long-term persistence, as well as the evaluation of our retrieval system’s performance.