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Can We Trust Recommender System Fairness Evaluation? The Role of Fairness and Relevance - Evaluation M1.5

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

Tags

Recommender Systems Courses Information Retrieval Courses Algorithmic Bias Courses

Course Description

Overview

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Explore the critical question of recommender system fairness evaluation in this 15-minute conference talk from SIGIR 2024. Delve into the intricate relationship between fairness and relevance as presented by authors Theresia Veronika Rampisela, Tuukka Ruotsalo, Maria Maistro, and Christina Lioma. Gain insights into the challenges and complexities surrounding the trustworthiness of fairness evaluations in recommender systems, and understand the potential implications for future research and development in this field.

Syllabus

SIGIR 2024 M1.5 [fp] Can We Trust Recommender System Fairness Evaluation?


Taught by

Association for Computing Machinery (ACM)

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