Zobrazeno 1 - 10
of 748
pro vyhledávání: '"Huang, Zan"'
Publikováno v:
Journal of biomedical informatics, 2007
Gene/protein interactions provide critical information for a thorough understanding of cellular processes. Recently, considerable interest and effort has been focused on the construction and analysis of genome-wide gene networks. The large body of bi
Externí odkaz:
http://arxiv.org/abs/2204.10476
Artificial Intelligence Lab, Department of MIS, University of Arizona
Research shows that recommendations comprise a valuable service for users of a digital library [11]. While most existing recommender systems rely either on a content-based app
Research shows that recommendations comprise a valuable service for users of a digital library [11]. While most existing recommender systems rely either on a content-based app
Externí odkaz:
http://hdl.handle.net/10150/105313
Publikováno v:
In Solid State Sciences October 2024 156
Publikováno v:
In International Journal of Biological Macromolecules October 2024 277 Part 2
Autor:
Zhou, Yulan1 (AUTHOR), Huang, Zan1 (AUTHOR), Liu, Yanjie1 (AUTHOR), Liu, Dongao2 (AUTHOR) 675383246@qq.com
Publikováno v:
BMC Public Health. 5/23/2024, Vol. 24 Issue 1, p1-10. 10p.
Autor:
Liu, Dongao1 (AUTHOR), Huang, Zan2 (AUTHOR), Liu, Yanjie2 (AUTHOR), Zhou, Yulan2 (AUTHOR) zhouyulan004@outlook.com
Publikováno v:
BMC Public Health. 5/10/2024, Vol. 24 Issue 1, p1-10. 10p.
Publikováno v:
In Journal of Retailing and Consumer Services July 2024 79
Publikováno v:
In Journal of Physics and Chemistry of Solids May 2024 188
Artificial Intelligence Lab, Department of MIS, University of Arizona
Information overload on the Web has created enormous challenges to customers selecting products for online purchases and to online businesses attempting to identify customers
Information overload on the Web has created enormous challenges to customers selecting products for online purchases and to online businesses attempting to identify customers
Externí odkaz:
http://hdl.handle.net/10150/105683
Artificial Intelligence Lab, Department of MIS, University of Arizona
Recommender systems are being widely applied in many application settings to suggest products, services, and information items to potential consumers. Collaborative filtering,
Recommender systems are being widely applied in many application settings to suggest products, services, and information items to potential consumers. Collaborative filtering,
Externí odkaz:
http://hdl.handle.net/10150/105493