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Predicting clicks of PubMed articles

Predicting the popularity or access usage of an article has the potential to improve the quality of PubMed searches. We can model the click trend of each article as its access changes over time by mining the PubMed query logs, which contain the previous access history for all articles. In this artic...

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Detalhes bibliográficos
Main Authors: Mao, Yuqing, Lu, Zhiyong
Formato: Artigo
Idioma:Inglês
Publicado em: American Medical Informatics Association 2013
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3900227/
https://ncbi.nlm.nih.gov/pubmed/24551386
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