Recommender systems and reinforcement learning for human-building interaction and context aware support: A text mining-driven review of scientific literature

2024-11-13

Energy and Buildings

AI Summary

This study addresses the challenge of jointly optimizing occupant health/comfort and energy efficiency in intelligent buildings. We propose a context-aware human-building interaction modeling framework that integrates recommender systems with reinforcement learning. Methodologically, we conduct a systematic literature review (SLR), complemented by text mining, LDA topic modeling, and citation network analysis to construct, for the first time, an interdisciplinary classification taxonomy covering 2010–2023. Our analysis identifies seven representative application scenarios, twelve prevalent algorithmic variants, and critical bottlenecks—including multi-objective trade-offs, sparse reward signals, and limited model interpretability. The contributions include the first theoretical map and practical roadmap tailored for adaptive human–building co-adaptation, establishing a methodological foundation for cross-disciplinary knowledge integration and high-dimensional sensor-driven intelligent environmental control.

Technology Category

• Intelligent Robots: Human-Robot Interaction
• Cognitive Modeling & Cognitive Systems: Simulating Human Behavior
• Humans and AI: Planning and Decision Support for Human-Machine Teams

Application Category

• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions
• User Modeling, Personalization and Recommendation: Psychology-informed user models and recommender systems
• Search and Retrieval-Augmented AI: Web learning to rank, online learning, and counterfactual learning for ranking

Problem

• Recommender Systems
• Reinforcement Learning
• Indoor Environment Optimization

Innovation

• Massive Text Analysis
• Reinforcement Learning in Building Environments
• Personalized Experience Optimization