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Uncontextualized Significance Considered Dangerous in Evaluation - Session M1.5

Offered By: Association for Computing Machinery (ACM) via YouTube

Tags

Information Retrieval Courses Hypothesis Testing Courses Research Methodology Courses

Course Description

Overview

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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)

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