Recommendation Systems for the Healthcare Domain: A Comprehensive Survey of Evaluation Datasets
Healthcare Recommendation Systems (HRSs) primarily aim to offer advice, recommendations, or suggestions related to human healthcare. Similar to other information systems, datasets affect HRSs’ efficiency. The larger datasets can make the information more diverse and complete. Therefore, the recommen...
Saved in:
| Main Authors: | Dinh Tai Pham, Yeong-Seok Seo, Huyen Trang Phan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
World Scientific Publishing
2024-11-01
|
| Series: | Vietnam Journal of Computer Science |
| Subjects: | |
| Online Access: | https://www.worldscientific.com/doi/10.1142/S2196888824500167 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Novel Time-Aware Food Recommender-System Based on Deep Learning and Graph Clustering
by: Mehrdad Rostami, et al.
Published: (2022-01-01) -
Empirical and Experimental Perspectives on Big Data in Recommendation Systems: A Comprehensive Survey
by: Kamal Taha, et al.
Published: (2024-09-01) -
Using Adaptive Content Recommendations to Improve Logic and Programming Teaching and Learning
by: Aluizio Haendchen Filho, et al.
Published: (2024-11-01) -
Association rules recommendation algorithm supporting recommendation nonempty
by: Ming HE, et al.
Published: (2017-10-01) -
Applying Recommender Systems to Predict Personalized Film Age Ratings for Parents
by: Harris Papadakis, et al.
Published: (2024-12-01)