Sustainability Evaluation Metrics for Recommender Systems
Year: 2025
Type: preprint
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.
Source: arXiv (Cornell University)
Authors: Felfernig, Alexander, Garber, Damian, Le, Viet-Man, Lubos, Sebastian, Tran, Thi Ngoc Trang
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6948279339
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