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The Digital Transformation in Health: How AI Can Improve the Performance of Health Systems

África Periáñez, Ana Fernández Del Río, Ivan Nazarov, Enric Jané et al. • Health Systems & Reform (2024)

Mobile health has the potential to revolutionize health care delivery and patient engagement. In this work, we discuss how integrating Artificial Intelligence into digital health applications focused on supply chain operation, patient manag...

DOAJ Open Access (DOAJ) DOI: 10.1080/23288604.2024.2387138

Understanding the Influence of Personalized Recommendation on Purchase Intentions from a Self-Determination Perspective: Contingent upon Product Categories

Li Zhao, Bing Fu, Sha Bai • Journal of Theoretical and Applied Electronic Commerce Research (2025)

While consumers experience shopping convenience through personalized recommendations, they are increasingly concerned about their consumption behavior being manipulated, leading to psychological resistance towards personalized recommendatio...

DOAJ Open Access (DOAJ) DOI: 10.3390/jtaer20010032

Heterogeneous Graph Neural Network

Chuxu Zhang, Dongjin Song, Chao Huang, Ananthram Swami et al. • ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) (2019)

Representation learning in heterogeneous graphs aims to pursue a meaningful vector representation for each node so as to facilitate downstream applications such as link prediction, personalized recommendation, node classification, etc. This...

OPENALEX Open Access DOI: https://doi.org/10.1145/3292500.3330961

Research on Personalized Recommendation Algorithm Integrating Cross-Grained Sentiment and Rating Interaction Features

Bing Li, Jiangtao Dong, Xile Wang, Yuqi Hou et al. • IEEE Access (2025)

To investigate the impact of cross-grained sentiments on user feature representation and address the issue of data sparsity, this paper proposes a Personalized Recommendation Algorithm Integrating Cross-Grained Sentiment and Rating Interact...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3530431