Robust Learning to Rank Based on Portfolio Theory and AMOSA Algorithm

2017 ◽  
Vol 47 (6) ◽  
pp. 1007-1018 ◽  
Author(s):  
Jinzhong Li ◽  
Guanjun Liu ◽  
Chungang Yan ◽  
Changjun Jiang
Author(s):  
Yanwei Fu ◽  
Timothy M. Hospedales ◽  
Tao Xiang ◽  
Shaogang Gong ◽  
Yuan Yao

IEEE Access ◽  
2022 ◽  
pp. 1-1
Author(s):  
Xin Wu ◽  
Qing Liu ◽  
Jiarui Qin ◽  
Yong Yu

2014 ◽  
Vol 1 ◽  
pp. 527-530 ◽  
Author(s):  
Kiyoharu Tanaka ◽  
Tomoya Suzuki
Keyword(s):  

10.28945/3602 ◽  
2016 ◽  
Vol 15 ◽  
pp. 593-609
Author(s):  
Hsun-Ming Lee ◽  
Ju Long ◽  
Lucian Visinescu

Developing Business Intelligence (BI) has been a top priority for enterprise executives in recent years. To meet these demands, universities need to prepare students to work with BI in enterprise settings. In this study, we considered a business simulator that offers students opportunities to apply BI and make top-management decisions in a system used by real-world professionals. The simulation-based instruction can be effective only if students are not discouraged by the difficulty of using the BI computer system and comprehending the complex BI subjects. Constructivist practices embedded in the business simulation are investigated to understand their potentials for helping the students to overcome the perceived difficulty. Consequently, it would enable instructors to more efficiently use the simulator by providing insights on its pedagogical practices. Our findings showed that the constructivist practices such as collaboration and subject integration positively influence active learning and meaningful learning respectively. In turn, both active learning and meaningful learning positively influence business intelligence motivational behavior. These findings can be further used to develop a robust learning environment in BI classes.


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