A supervised term ranking model for diversity enhanced biomedical information retrieval

A supervised term ranking model for diversity enhanced biomedical information retrieval

Abstract Background The number of biomedical research articles have increased exponentially with the advancement of biomedicine in recent years. These articles have thus brought a great difficulty in obtaining the needed information of researchers. Information retrieval technologies seek to tackle t...

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Bibliographic Details
Main Authors: Bo Xu, Hongfei Lin, Liang Yang, Kan Xu, Yijia Zhang, Dongyu Zhang, Zhihao Yang, Jian Wang, Yuan Lin, Fuliang Yin
Format: Article
Language:English
Published: BMC 2019-12-01
Series:BMC Bioinformatics
Subjects:
Biomedical information retrieval
Supervised query expansion
Term ranking model
Diversity-oriented retrieval
Machine learning
Learning to rank
Online Access:https://doi.org/10.1186/s12859-019-3080-2

Internet

https://doi.org/10.1186/s12859-019-3080-2

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