[论文解读] Advancing Sustainability via Recommender Systems: A Survey

Xin Zhou, Lei Zhang+5 more|arXiv (Cornell University)|Nov 12, 2024

Recommender Systems and Techniques被引用 5

一句话总结

本综述分析面向旅行、食品与建筑领域的可持续推荐系统，提出一个通用框架与未来方向。

ABSTRACT

Human behavioral patterns and consumption paradigms have emerged as pivotal determinants in environmental degradation and climate change, with quotidian decisions pertaining to transportation, energy utilization, and resource consumption collectively precipitating substantial ecological impacts. Recommender systems, which generate personalized suggestions based on user preferences and historical interaction data, exert considerable influence on individual behavioral trajectories. However, conventional recommender systems predominantly optimize for user engagement and economic metrics, inadvertently neglecting the environmental and societal ramifications of their recommendations, potentially catalyzing over-consumption and reinforcing unsustainable behavioral patterns. Given their instrumental role in shaping user decisions, there exists an imperative need for sustainable recommender systems that incorporate sustainability principles to foster eco-conscious and socially responsible choices. This comprehensive survey addresses this critical research gap by presenting a systematic analysis of sustainable recommender systems. As these systems can simultaneously advance multiple sustainability objectives--including resource conservation, sustainable consumer behavior, and social impact enhancement--examining their implementations across distinct application domains provides a more rigorous analytical framework. Through a methodological analysis of domain-specific implementations encompassing transportation, food, buildings, and auxiliary sectors, we can better elucidate how these systems holistically advance sustainability objectives while addressing sector-specific constraints and opportunities. Moreover, we delineate future research directions for evolving recommender systems beyond sustainability advocacy toward fostering environmental resilience and social consciousness in society.

研究动机与目标

• 评估推荐系统在跨领域（旅行、食品、建筑）对可持续性的影响。
• 提出一个可持续RS设计的通用架构框架。
• 识别推动可持续性的领域特定实现、挑战与机会。

提出的方法

• 对跨越旅行、食品和建成环境的可持续RS研究进行系统性的文献综述。
• 在旅行领域对交通、POI、路线和多模态推荐进行领域特定分析。
• 在食品推荐中考察健康意识和环保方面。
• 综合一个用于可持续性的通用RS架构并概述挑战与未来方向。

实验结果

研究问题

• RQ1 如何设计推荐系统以在不同领域促进环境可持续性？
• RQ2 在旅行、食品和建筑领域中，面向可持续性的RS实现面临哪些领域特定的挑战与机遇？
• RQ3 什么样的架构框架可以组织和引导可持续RS的研究与应用？
• RQ4 哪些未来研究方向对通过RS促进环境韧性和社会意识最具影响力？

主要发现

• 提供了跨旅行、食品和建成环境领域的可持续RS的整体视角。
• 提出一个用于组织可持续RS研究与实践的通用架构框架。
• 突出显示在交通、POI、路线以及健康/环保食品推荐方面的领域特定实现、约束与机会。
• 确定了在可持续性整合方面的关键挑战、对多目标优化的需求，以及未来研究方向的需求。