A Comprehensive Exploration of Personalized Learning in Smart Education: From Student Modeling to Personalized Recommendations

S Wu, Y Cao, J Cui, R Li, H Qian, B Jiang… - arxiv preprint arxiv …, 2024 - arxiv.org
With the development of artificial intelligence, personalized learning has attracted much
attention as an integral part of intelligent education. China, the United States, the European …

Adaptive multi-modalities fusion in sequential recommendation systems

H Hu, W Guo, Y Liu, MY Kan - … of the 32nd ACM International Conference …, 2023 - dl.acm.org
In sequential recommendation, multi-modal information (eg, text or image) can provide a
more comprehensive view of an item's profile. The optimal stage (early or late) to fuse …

Criteria tell you more than ratings: Criteria preference-aware light graph convolution for effective multi-criteria recommendation

JD Park, S Li, X Cao, WY Shin - Proceedings of the 29th ACM SIGKDD …, 2023 - dl.acm.org
The multi-criteria (MC) recommender system, which leverages MC rating information in a
wide range of e-commerce areas, is ubiquitous nowadays. Surprisingly, although graph …

Automatic Feature Fairness in Recommendation via Adversaries

H Hu, Y Cao, Z He, S Tan, MY Kan - … in Information Retrieval in the Asia …, 2023 - dl.acm.org
Fairness is a widely discussed topic in recommender systems, but its practical
implementation faces challenges in defining sensitive features while maintaining …

A personalized course recommendation model integrating multi-granularity sessions and multi-type interests

Y Liu, Y Dong, C Yin, C Chen, R Jia - Education and Information …, 2024 - Springer
The open online course (MOOC) platform has seen an increase in usage, and there are a
growing number of courses accessible for people to select. An effective method is urgently …

Reasonable Sense of Direction: Making Course Recommendations Understandable with LLMs

HW Chun, RK Ong, AWH Khong - 2024 IEEE 67th International …, 2024 - ieeexplore.ieee.org
Course recommendation systems play an essential role in academic institutions for students
to find courses that align with their interests and graduation requirements. However, due to …

[HTML][HTML] LMGA: Lightweight multi-graph augmentation networks for safe medication recommendation

X Fan, X Yu, X Li, F Ge, Y Zhao - Journal of King Saud University-Computer …, 2024 - Elsevier
The rapid accumulation of large-scale electronic health records (EHRs) has witnessed the
prosperity of intelligent medicine, such as medication recommendation (MR). However, most …

ALGNet: Attention Light Graph Memory Network for Medical Recommendation System

MV Nguyen, DT Nguyen, QH Trinh, B Le - Proceedings of the 12th …, 2023 - dl.acm.org
Medication recommendation is a vital task for improving patient care and reducing adverse
events. However, existing methods often fail to capture the complex and dynamic …

[PDF][PDF] MORS 2022

Recommender Systems are becoming an inherent part of today's Internet. They can be
found anywhere from e-commerce platforms (eBay, Amazon) to music or movie streaming …