Recommender systems for sustainability: overview and research issues

A Felfernig, M Wundara, TNT Tran… - Frontiers in big …, 2023 - frontiersin.org
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 …

Ai-enabled trust in distributed networks

Z Li, W Fang, C Zhu, Z Gao, W Zhang - IEEE Access, 2023 - ieeexplore.ieee.org
Cybersecurity, as a crucial aspect of the information society, requires significant attention.
Fortunately, the concept of trust, originating from the field of sociology, has been under …

SAST: A self-attention based method for skill translation in T-shaped expert finding

Z Fallahnejad, H Beigy - Information Sciences, 2024 - Elsevier
Nowadays, organizations are seeking professionals who can both excel in their areas of
expertise and collaborate effectively across different disciplines. This demand has given rise …

A Bayesian deep recommender system for uncertainty-aware online physician recommendation

F Cui, S Yu, Y Chai, Y Qian, Y Jiang, Y Liu, X Liu… - Information & …, 2024 - Elsevier
Online physician recommender systems alleviate information overload by automatically
recommending the best-fit physicians to patients. In contrast to general recommendations …

Named Entity Recognition-based Hospital Recommendation

S Rajathi, RT Kumar, SV Krishna… - … on Vision Towards …, 2023 - ieeexplore.ieee.org
Extracting the intended information from raw text input remains a potential challenge in the
biomedical industry. An NER based pre-diagnosis model that uses a general medical …

Expert Recommendation Method for Fault Maintenance Based On Industrial Manufacturing Knowledge

J Fu, J Tian, J Xu, Z Fang - 2023 IEEE International Conference …, 2023 - ieeexplore.ieee.org
In the industrial manufacturing process, equipment failure problems occur frequently and will
have a negative impact on productivity if not resolved on time. Therefore, finding experts …

CSIA-GCN: A Doctor Recommendation Model Based on Interactive Graph Convolutional Networks

Y Zhang, J Chen, Z Zou, M Yao… - … Joint Conference on …, 2024 - ieeexplore.ieee.org
Online hospital appointment systems provide patients the flexibility to select their preferred
physicians. However, these systems face challenges due to sparse datasets in doctor …

A Study on Doctor Recommendation Model in Medical Guidance Services

H Chen, W Gu, H Zhang, Q Zhang… - Journal of Internet …, 2024 - jit.ndhu.edu.tw
In medical guidance services, it is of great significance to match the appropriate department
and doctor by digging deeper into patients' demands. However, accurate matching of …