Weifang University of Science and Technology

With the rapid development of cloud-based creative platforms, personalized visual art recommendation has attracted increasing attention in recent years. Online illustration services usually host a large number of artworks with diverse styles and themes, making it difficult for users to efficiently discover content that matches their visual preferences. Existing recommendation methods mainly emphasize preference matching at the individual artwork level, while the overall quality of experience (QoE) perceived from a recommended artwork set is often insufficiently considered. In this paper, we propose a QoE-driven cloud intelligence approach for personalized visual art recommendation. Based on historical user interaction data, a weighted artwork correlation graph is constructed to characterize perceptual relationships among artworks. By jointly considering user intent coverage and cross-artwork perceptual consistency, a QoE-aware optimization strategy is designed to generate a compact and coherent recommendation list. Experimental results on a large-scale dataset show that the proposed approach achieves better performance than several baseline methods in terms of recommendation accuracy and QoE-related metrics, while maintaining reasonable computational efficiency in cloud environments. These results indicate that incorporating QoE considerations into cloud-based visual art recommendation can improve user experience and service effectiveness.

This review systematically examines the latest research progress and diverse applications of direct evaporative cooling and indirect evaporative cooling across five core sectors: industrial and energy engineering, the built environment, agriculture and food preservation, transportation and aerospace, and emerging interdisciplinary fields. While existing research often focuses on single application silos, this paper distills two common foundational challenges: climate adaptability and water resource management. Quantitative analysis demonstrates significant performance gains. Hybrid systems in data centers increase annual energy-saving potential by 14% to 41%, while precision root-zone cooling in greenhouses boosts crop yields by 13.22%. Additionally, passive cooling blankets reduce post-harvest losses by up to 45%, and integrated desalination cycles achieve 18.64% lower energy consumption compared to conventional systems. Innovative strategies to overcome humidity bottlenecks include vacuum-assisted membranes, advanced porous materials, and hybrid radiative-evaporative systems. The paper also analyzes sustainable water management through rainwater harvesting, seawater utilization, and atmospheric water capture. Collectively, these advancements provide a comprehensive framework to guide the future development and commercialization of sustainable cooling technologies.