Learning to Predict Page View on College Official Accounts With Quality-Aware Features.

Yu, Yibing; Shi, Shuang; Wang, Yifei; Lian, Xinkang; Liu, Jing; Lei, Fei

Yu, Yibing; Shi, Shuang; Wang, Yifei; Lian, Xinkang; Liu, Jing; Lei, Fei.

Afiliación

Yu Y; The Communist Youth League Committee, Beijing University of Technology, Beijing, China.
Shi S; School of Economics and Management, Beijing University of Technology, Beijing, China.
Wang Y; Faculty of Information Technology, Beijing University of Technology, Beijing, China.
Lian X; Faculty of Information Technology, Beijing University of Technology, Beijing, China.
Liu J; Faculty of Information Technology, Beijing University of Technology, Beijing, China.
Lei F; Faculty of Information Technology, Beijing University of Technology, Beijing, China.

Front Neurosci ; 15: 766396, 2021.

Article en En | MEDLINE | ID: mdl-34776856

Palabras clave

college official accounts; human visual system; page view; quality-aware features; selective ensemble

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Neurosci Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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