A supervised term ranking model for diversity enhanced biomedical information retrieval

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 the probl...

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Detalles Bibliográficos
Autores principales: Xu, Bo, Lin, Hongfei, Yang, Liang, Xu, Kan, Zhang, Yijia, Zhang, Dongyu, Yang, Zhihao, Wang, Jian, Lin, Yuan, Yin, Fuliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6886246/
https://www.ncbi.nlm.nih.gov/pubmed/31787087
http://dx.doi.org/10.1186/s12859-019-3080-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6886246/
https://www.ncbi.nlm.nih.gov/pubmed/31787087
http://dx.doi.org/10.1186/s12859-019-3080-2

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