An Approach to Trustworthy Article Ranking by NLP and Multi-Layered Analysis and Optimization
The rapid growth of scientific publications, coupled with rising retraction rates, has intensified the challenge of identifying trustworthy academic articles. To address this issue, we propose a three-layer ranking system that integrates natural language processing and machine learning techniques fo...
Saved in:
| Main Authors: | Chenhao Li, Jiyin Zhang, Weilin Chen, Xiaogang Ma |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-07-01
|
| Series: | Algorithms |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-4893/18/7/408 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Signalling and rich trustworthiness in data-driven healthcare: an interdisciplinary approach
by: Jonathan R. Goodman, et al.
Published: (2024-01-01) -
Information exchange model of multi control nodes in trustworthy and controllable network
by: WANG Peng, et al.
Published: (2010-01-01) -
The Venus score for the assessment of the quality and trustworthiness of biomedical datasets
by: Davide Chicco, et al.
Published: (2025-01-01) -
MultiLTR: Text Ranking with a Multi-Stage Learning-to-Rank Approach
by: Hua Yang, et al.
Published: (2025-04-01) -
Exploration and practice of human-machine trustworthy mechanism in XAI
by: LUO Zhongyan, et al.
Published: (2025-01-01)