A Knowledge-Fusion Ranking System with an Attention Network for Making Assignment Recommendations

In recent decades, more teachers are using question generators to provide students with online homework. Learning-to-rank (LTR) methods can partially rank questions to address the needs of individual students and reduce their study burden. Unfortunately, ranking questions for students is not trivial...

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Detalles Bibliográficos
Autores principales: Jin, Canghong, Zhou, Yuli, Ying, Shengyu, Zhang, Chi, Wang, Weisong, Wu, Minghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7773453/
https://www.ncbi.nlm.nih.gov/pubmed/33424959
http://dx.doi.org/10.1155/2020/6748430

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7773453/
https://www.ncbi.nlm.nih.gov/pubmed/33424959
http://dx.doi.org/10.1155/2020/6748430

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