为推荐系统设计环保、社会与经济影响评估指标
Sustainability Evaluation Metrics for Recommender Systems
- 基于联合国可持续发展目标，构建多维度评估体系
- 涵盖环境、社会、经济三方面影响，超越传统精度指标
- 适合关注伦理与长期影响的研究者与从业者
面向可持续性的评估指标能够帮助在准确率、精确率、召回率和满意度等广泛使用的指标之外，评估推荐系统质量。遵循联合国可持续发展目标（SDGs），这些指标有助于分析推荐系统对环境、社会和经济方面的综合影响。本文讨论了推荐系统中不同基础的可持续性评估指标，并分析其应用场景。
原文摘要 · Abstract (English)
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.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。