A Hierarchical Structure-Enhanced Personalized Recommendation Model for Traditional Chinese Medicine Formulas Based on KG Diffusion Guidance.

Chaobo Zhang|Long Tan


Anthology ID:DBLP:conf/cikm/ZhangT25
Volume:Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
Year:2025
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:4066-4075
URL:https://doi.org/10.1145/3746252.3761428
DOI:https://doi.org/10.1145/3746252.3761428
DBLP:conf/cikm/ZhangT25
BibTeX:
@inproceedings{zhang-2025-hierarchical, author = {Chaobo Zhang and Long Tan}, editor = {Carl Yang and Meeyoung Cha and Senjuti Basu Roy and Chanyoung Park and Zhenhui Jessie Li and Noseong Park and Carl Yang and Senjuti Basu Roy and Zhenhui Jessie Li and Jaap Kamps and Kijung Shin and Bryan Hooi and Lifang He}, title = {{A Hierarchical Structure-Enhanced Personalized Recommendation Model for Traditional Chinese Medicine Formulas Based on KG Diffusion Guidance}}, booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}}, pages = {4066--4075}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3746252.3761428}, doi = {https://doi.org/10.1145/3746252.3761428} }