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Frontiers of Computer Science

ISSN 2095-2228

ISSN 2095-2236(Online)

CN 10-1014/TP

Postal Subscription Code 80-970

2018 Impact Factor: 1.129

Front. Comput. Sci.    2025, Vol. 19 Issue (5) : 195604    https://doi.org/10.1007/s11704-024-40742-x
Information Systems
Visual analysis approach for mutual fund selection
Fan YAN1, Yong WANG2, Xuanwu YUE3, Kam-Kwai WONG4, Ketian MAO1, Rong ZHANG4, Huamin QU4, Haiyang ZHU1,5, Minfeng ZHU1(), Wei CHEN1
1. State Key Laboratory of Computer Aided Design and Computer Graphics, Zhejiang University, Hangzhou 310058, China
2. College of Computing and Data Science, Nanyang Technological University, Singapore 639798, Singapore
3. Baiont Quant, Nanjing 210038, China
4. Department of Computer Science and Engineering, Hong Kong University of Science and Technology,Hong Kong 999077, China
5. Wuchan Zhongda Digital Technology Co., Ltd., Hangzhou 310020, China
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Corresponding Author(s): Minfeng ZHU   
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Just Accepted Date: 11 September 2024   Issue Date: 12 October 2024
 Cite this article:   
Fan YAN,Yong WANG,Xuanwu YUE, et al. Visual analysis approach for mutual fund selection[J]. Front. Comput. Sci., 2025, 19(5): 195604.
 URL:  
https://academic.hep.com.cn/fcs/EN/10.1007/s11704-024-40742-x
https://academic.hep.com.cn/fcs/EN/Y2025/V19/I5/195604
Fig.1  The approach for mutual fund selection
Fig.2  The user feedback on our approach
Fig.3  The MAP (a) and NDCG@20 (b) of the approach’s ranking
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3 T W Young . Calmar ratio: a smoother tool. Futures, 1991, 20( 1): 40
4 T Y Liu . Learning to rank for information retrieval. Foundations and Trends in Information Retrieval, 2009, 3( 3): 225–331
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