Sustainability Evaluation Metrics for Recommender Systems
Information Retrieval
2025-07-31 v1
Abstract
Sustainability-oriented evaluation metrics can help to assess the quality of recommender systems beyond wide-spread metrics such as accuracy, precision, recall, and satisfaction. Following the United Nations`s sustainable development goals (SDGs), such metrics can help to analyse the impact of recommender systems on environmental, social, and economic aspects. We discuss different basic sustainability evaluation metrics for recommender systems and analyze their applications.
Cite
@article{arxiv.2507.22520,
title = {Sustainability Evaluation Metrics for Recommender Systems},
author = {Alexander Felfernig and Damian Garber and Viet-Man Le and Sebastian Lubos and Thi Ngoc Trang Tran},
journal= {arXiv preprint arXiv:2507.22520},
year = {2025}
}