supported by the National Basic Research Program(973) of China(No.2015CB352400);the National Key Research and Development Program of China(No.2016YFB1200203-03)
Implicit feedback, which indirectly reflects opinion through user behaviors, has gained increasing attention in recommender system communities due to its accessibility and richness in real-world applications. A major ...
supported by the National Basic Research Program(973)of China(No.2012CB316400);Zhejiang University-Alibaba Financial Joint Lab,Zhejiang Provincial Engineering Center on Media Data Cloud Processing and Analysis,China;the US National Science Foundation(No.CCF-1017828)
We study the problem of business model mining and prediction in the e-commerce context. Unlike most existing approaches where this is typically formulated as a regression problem or a time-series prediction problem, w...
This work is supported in part by the National Natural Science Foundation of China (No.60773034, No.60573018, No.60534060, and No.60473094), the "Taishan Scholar" Construction Project of Shandong Province, China; the National Basic Research Program of China (973 Program) (No.2003CB316902, No.2007CB316502 and No.2004CB318001- 03), and the Open Project of the State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences (No.SYSKF0604).
The emergence of Grid Computing settings lays a solid foundation for designing and constructing a next generation E-commerce environment. This work presents a new E-commerce architecture based on a Grid Computing envi...
Existing methods for modeling Ecommerce systems (ECSs) focus mostly on either mathematically abstract verification or graphical modeling, and cannot explicitly describe and analyze the obligations of partners. This ...