Uncontextualized Significance Considered Dangerous in Evaluation - Session M1.5
Association for Computing Machinery (ACM) via YouTube
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Explore a thought-provoking 15-minute conference talk by Nicola Ferro and Mark Sanderson at SIGIR 2024, focusing on the dangers of uncontextualized significance in evaluation methodologies. Delve into the authors' insights on the importance of proper context when interpreting statistical significance in information retrieval research, and gain valuable perspectives on improving the reliability and validity of evaluation practices in the field.
Syllabus
SIGIR 2024 M1.5 [fp] Uncontextualized significance considered dangerous
Taught by
Association for Computing Machinery (ACM)