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您的检索式：作者名="He Huaiqing"
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| 1 | A simple and accurate ap-proach to hierarchical clustering显示文摘 | Li Jianfu Li Jianshuang He Huaiqing | 2011 | Journal of Computational Informa-tion Systems2011，7，7： | 1 |
| 2 | Description of a new species of the genus Rana (Anura: Ranidae) from western Guizhou, China, integrating morphological and molecular genetic data显示文摘The diversity of the brown frog genus Rana may be underestimated as the high similarity of morphological characters.In this study,a new species of Rana from Guizhou Province,China is described,namely Rana zhijinensis Luo,Xiao&Zhou,sp.nov.Molecular phylogenetic analyses clustered the new species into the R.japonica group of Rana and significant morphological characters can be distinguished from the 11 recognized species of the R.japonica group.This description increases the number of recognized Rana to 57 species and the R.japonica group to 12 species,and increases our knowledge of the diversity of the genus Rana. | Shasha Yan Qingqing He Tao Luo Cheng Xu Huaiqing Deng Ning Xiao Jiang Zhou | 2022 | Zoological Systematics2022，47，4： | 1 |
| 3 | SVR Recommendation Algorithm of Civil Aviation Auxiliary Service Based on Context-Awareness显示文摘Analysis of the particularity of the civil aviation passenger auxiliary service recommendation scenario.As application of the traditional recommendation algorithm has certain limitation in civil aviation auxiliary services recommendation,a SVR recommendation algorithm of auxiliary service of civil aviation based on context-awareness was proposed.Analysis of the civil aviation passenger travel data,construct the civil aviation passenger preference model,then recommend auxiliary service for passengers.Based on the traditional two-dimensional user-item recommendation,considering the user characteristics,item attributes and user contextual information in the process of recommendation,which can effectively reduce the data sparseness in some degree.In addition,when there is a new user or a new item,whose similar users or items can be found according to the user or item attributes,to some extent,which can solve the problem of cold start.The experimental results show that the algorithm can recommend auxiliary service for passengers more accurately,which can provide convenience for passengers as well as increase the quality of airlines’services. | Haohan Liu Hongli Zhang Kanghua Hui Huaiqing He | 2015 | 国际计算机前沿大会会议论文集2015，，B12： | 0 |
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