Replicability Measures for Longitudinal Information Retrieval Evaluation

Author:

Keller JüriORCID,Breuer TimoORCID,Schaer PhilippORCID

Publisher

Springer Nature Switzerland

Reference29 articles.

1. Lecture Notes in Computer Science;R Alkhalifa,2023

2. Alkhalifa, R., et al.: Extended overview of the CLEF-2023 LongEval lab on longitudinal evaluation of model performance. In: CLEF (Working Notes). CEUR Workshop Proceedings, vol. 3497, pp. 2181–2203. CEUR-WS.org (2023)

3. Amati, G.: Probability models for information retrieval based on divergence from randomness. Ph.D. thesis, University of Glasgow, UK (2003)

4. Bar-Ilan, J.: Criteria for evaluating information retrieval systems in highly dynamic environments. In: WebDyn@WWW. CEUR Workshop Proceedings, vol. 702, pp. 70–77. CEUR-WS.org (2002)

5. Breuer, T., et al.: How to measure the reproducibility of system-oriented IR experiments. In: SIGIR, pp. 349–358. ACM (2020)

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