This paper presents the results and work done by team GWCA (University of Padua) on LongEval CLEF 2023 Lab in Task 1 (retrieval), that aims at evaluating the temporal persistence of information retrieval systems. After a careful analysis on the dataset given to train the system, the group decided to first try some common techniques to improve performance and then focus on those that produced better experimental results.
SEUPD@CLEF: Team GWCA on Longitudinal Evaluation of IR Systems by Using Query Expansion and Learning To Rank
Ferro N.
2023
Abstract
This paper presents the results and work done by team GWCA (University of Padua) on LongEval CLEF 2023 Lab in Task 1 (retrieval), that aims at evaluating the temporal persistence of information retrieval systems. After a careful analysis on the dataset given to train the system, the group decided to first try some common techniques to improve performance and then focus on those that produced better experimental results.File in questo prodotto:
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