mlsanityData to 14 Oct 2026

Recommender Systems for Sustainability: Overview and Research Issues

arXiv 2412.03620 ↗First posted 4 Dec 2024cs.IR cs.AIcited by 5

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 10 of its 133 references that are in the map. First posted on arXiv 4 Dec 2024.

Builds on

10 of 133 references.

References · 10

  1. 2019The role of artificial intelligence in achieving the Sustainable Development Goalscited by 100
  2. 2019Measuring the Business Value of Recommender Systemscited by 32
  3. 2021What are you optimizing for? Aligning Recommender Systems with Human Valuescited by 29
  4. 2022Fairness in Recommendation: Foundations, Methods and Applicationscited by 27
  5. 2021A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospectscited by 13
  6. 2020Market2Dish: Health-aware Food Recommendationcited by 8
  7. 2020Energy Efficient Computing Systems: Architectures, Abstractions and Modeling to Techniques and Standardscited by 6
  8. 2022Matching Theory-based Recommender Systems in Online Datingcited by 4
  9. 2021KnowledgeCheckR: Intelligent Techniques for Counteracting Forgettingcited by 2
  10. 2022Towards a Recommender System for Profiling Users in a Renewable Energetic Communitycited by 1

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 2; 2026: 3.

5 papers.

  1. 2025Hybrid-Hierarchical Fashion Graph Attention Network for Compatibility-Oriented and Personalized Outfit Recommendationcited by 2
  2. 2025We're Still Doing It (All) Wrong: Recommender Systems, Fifteen Years Latercited by 1
  3. 2026LLMGreenRec: LLM-Based Multi-Agent Recommender System for Sustainable E-Commercecited by 1
  4. 2026Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measurecited by 0
  5. 2026Trading Engagement for Sustainability: Carbon-Aware Re-ranking for E-commerce Recommendationscited by 0