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How to capture tourists' search behavior in tourism forecasts? A two-stage feature selection approach
Sun, Shaolong1; Hu, Mengyuan1; Wang, Shouyang2,3,4; Zhang, Chengyuan5
2023-03-01
Source PublicationEXPERT SYSTEMS WITH APPLICATIONS
ISSN0957-4174
Volume213Pages:9
AbstractSearch engine data have been widely used and shown to be useful in tourism demand forecasting. However, considering of the vast amounts of search keywords, how to better capture the tourists' attention and explore the most predictive keyword combination remain unsolved. In this study, a two-stage feature selection-based methodology is proposed to address this question. Specifically, i.e., single feature selection method compari-son for selecting a relative effective way to reduce the data dimension and ensure the quality of the initial subset, genetic algorithm in the second stage for obtaining feature subset better suitable for forecasting model with stronger predictive power. Experimental results indicate that the two-stage feature selection method outperforms all the considered benchmarks.
KeywordTourism demand forecasting Search engine data Two -stage feature selection Genetic algorithm Kernel extreme learning machine
DOI10.1016/j.eswa.2022.118895
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China ; Research Program of Shanxi Soft Science, China ; Fundamental Research Funds for the Central Universities ; [72101197] ; [72201201] ; [71988101] ; [2022KRM015] ; [SK2021007]
WOS Research AreaComputer Science ; Engineering ; Operations Research & Management Science
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Operations Research & Management Science
WOS IDWOS:000874658100003
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/60799
Collection中国科学院数学与系统科学研究院
Corresponding AuthorZhang, Chengyuan
Affiliation1.Xi An Jiao Tong Univ, Sch Management, Xian 710049, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China
4.Chinese Acad Sci, Ctr Forecasting Sci, Beijing 100190, Peoples R China
5.Xidian Univ, Sch Econ & Management, Xian 710071, Peoples R China
Recommended Citation
GB/T 7714
Sun, Shaolong,Hu, Mengyuan,Wang, Shouyang,et al. How to capture tourists' search behavior in tourism forecasts? A two-stage feature selection approach[J]. EXPERT SYSTEMS WITH APPLICATIONS,2023,213:9.
APA Sun, Shaolong,Hu, Mengyuan,Wang, Shouyang,&Zhang, Chengyuan.(2023).How to capture tourists' search behavior in tourism forecasts? A two-stage feature selection approach.EXPERT SYSTEMS WITH APPLICATIONS,213,9.
MLA Sun, Shaolong,et al."How to capture tourists' search behavior in tourism forecasts? A two-stage feature selection approach".EXPERT SYSTEMS WITH APPLICATIONS 213(2023):9.
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