Sustainability development goals (SDGs) are regarded as a universal call to action with the overall objectives of planet protection, ending of poverty, and ensuring peace and prosperity for all people. In order to achieve these objectives, different AI technologies play a major role. Specifically, recommender systems can provide support for organizations and individuals to achieve the defined goals. Recommender systems integrate AI technologies such as machine learning, explainable AI (XAI), case-based reasoning, and constraint solving in order to find and explain user-relevant alternatives from a potentially large set of options. In this article, we summarize the state of the art in applying recommender systems to support the achievement of sustainability development goals. In this context, we discuss open issues for future research.

翻译：可持续发展目标（SDGs）被视为一项普遍的行动号召，其总体目标包括保护地球、消除贫困以及确保全人类的和平与繁荣。为实现这些目标，不同的人工智能技术发挥着重要作用。具体而言，推荐系统能够为组织和个人实现既定目标提供支持。推荐系统整合了机器学习、可解释人工智能（XAI）、基于案例的推理和约束求解等人工智能技术，旨在从潜在的大量选项中寻找并解释与用户相关的备选方案。本文总结了应用推荐系统支持实现可持续发展目标的最新研究进展，并在此背景下探讨了未来研究的开放性问题。