Data di Pubblicazione:
2025
Abstract:
This report describes the system developed by Team BASETTE for the CLEF 2025 LongEval Lab, Task 1 - Web Retrieval. Our main priority was optimizing performance on limited and commonly available hardware, deliberately avoiding the use of GPUs or other specialized computational resources. The system relies on classical Information Retrieval techniques, and is designed to run both indexing and retrieval in a multithreaded fashion to ensure high execution speed. During development, we explored various strategies, some of which were discarded not only due to limited effectiveness, but also because their processing time was not compatible with our efficiency constraints.
Tipologia CRIS:
04.01 - Contributo in atti di convegno
Keywords:
Classical IR Techniques; CLEF 2025; Information Retrieval; LongEval; Multithreaded Retrieval; Resource-Constrained Systems; Web Search
Elenco autori:
Bottari, A.; Croce, L.; Abadi, F. M. H.; Ferro, N.
Link alla scheda completa:
Titolo del libro:
26th Working Notes of the Conference and Labs of the Evaluation Forum, CLEF 2025
Pubblicato in: