A Prediction Study on the Localization Policy of Improving the Satisfaction of Chinese Visitors to Japan by Using Matrix Factorization Techniques
Abstract
Against the background of the rapid growth of Chinese tourists to Japan, by observing the changes in the patterns of Chinese visitors to Japan and probing into the insufficiency of researches in the past studies, it is believed that online travel reviews can be used to present the current situation of tourism industry and be of value to provide the basic data for long-term sustainable research after analysis, including how to increase Chinese tourists’ satisfaction continuously and how to promote the service level of related industries. In this study, the unknown information caused by the cultural and regional differences in the reviews of Chinese visitors’ to Japan is taken as the prediction object and the local tourists’ travel comments as a reference group. Then, the factor decomposition technology and text mining technology are applied to predict the standards of services and projects that can meet the characteristics and demands of Chinese tourists. The comments of Chinese and Japanese tourists who stayed at hotels in the Hakone scenic area from May 2018 to April 2019 (time span: one year) are taken as the samples in this study. Thus, the disparity in the purpose of travel between Chinese tourists and Japanese local tourists in this scenic spot can be effectively displayed. Besides, it also clearly points out that due to a lack of understanding of Japanese food culture, Chinese visitors were in urgent need of relevant services and assistance. Therefore, this method will provide guidance for the growth of the local tourism industry and also demonstrate the feasibility of research methods. In the end, a complete analysis and calculation method for online comment text mining is established, which also provides guidance on improving the satisfaction of Chinese visitors to Japan. Besides, this method can also be considered to apply in more tourists with the same cultural background.
Acknowledgements
The authors gratefully acknowledge the Editor and two anonymous referees for their insightful comments and helpful suggestions that led to a marked improvement of the article.
References
[1] Japan National Tourism Organization (JNTO). Number of foreign visitors. 2010–2018.Suche in Google Scholar
[2] Japan National Tourism Organization (JNTO). Visiting foreign consumption trend survey to Japan. 2010–2018.Suche in Google Scholar
[3] Shoji Kawabata. Possibility of attracting foreign tourists to the region and revitalizing the region. Takeoff, No.155 Spring, 2019: 12–19.Suche in Google Scholar
[4] Cai L A, O’Leary J, Boger C. Chinese travellers to the United States — An emerging market. Journal of Vacation Marketing, 2000, 6(2): 131–144.10.1177/135676670000600204Suche in Google Scholar
[5] Shimizu I. Changes in the patterns of Chinese tourism to Japan. Geographical Studies, 2007, 82: 37–52.10.7886/hgs2007.2007.37Suche in Google Scholar
[6] Lai C, Li X R, Harrill R. Chinese outbound tourists’ perceived constraints to visiting the United States. Tourism Management, 2013, 37: 136–146.10.1016/j.tourman.2013.01.014Suche in Google Scholar
[7] Chew E Y T, Jahari S A. Destination image as a mediator between perceived risks and revisit intention: A case of post-disaster Japan. Tourism Management, 2014, 40: 382–393.10.1016/j.tourman.2013.07.008Suche in Google Scholar
[8] Teng J. Overseas travel demand in China and its factors for expansion. Okayama Economic Review, 2010, 42(3): 45–66.Suche in Google Scholar
[9] Wu Y Q. Tourism policies of China and Japan: Their impact on the behaviors of Chinese tourists to Japan. Hokkai Shoka Daigaku ronshu, 2016, 4: 98–120.Suche in Google Scholar
[10] Huang A Z. Trends in travel and inbound consumption for Chinese tourists visiting Japan. Asian Studies, 2017, 12: 25–40.Suche in Google Scholar
[11] Jin Y S. Spatial characteristics of Chinese tourist activities in Japan. Geographical Review of Japan Series A, 2009, 82: 332–345.10.4157/grj.82.332Suche in Google Scholar
[12] Dai E B. Destination distribution structure and influencing factors of Chinese tourists visiting Japan. A Viewpoint to East Asia, 2012, 23(1): 1–12.Suche in Google Scholar
[13] Hishida N, Hibino N, Morichi H. Chinese tourists in Japan: Time-series analysis in their destination choices and its multiplicities. Japan Society of Civil Engineers D3, 2012, 68(5): 667–677.Suche in Google Scholar
[14] Wu L H, Hayash H R. The impact of the great east japan earthquake on inbound tourism demand in Japan. Journal of Social Safety Science, 2013, 21: 109–117.Suche in Google Scholar
[15] Fakeye P C, Crompton J L. Image differences between prospective, first-time, and repeat visitors to the lower Rio Grande Valley. Journal of Travel Research, 1991, 30(2): 10–16.10.1177/004728759103000202Suche in Google Scholar
[16] Guo Y Z, Chen Y, Huang J F. Study on the willingness to travel to Japan based on multidimensional interactive decision tree model. Tourism Tribune, 2015, 30(1): 42–53.Suche in Google Scholar
[17] Ji M J, Li M M, Hsu C H C. Emotional encounters of Chinese tourists to Japan. Journal of Travel & Tourism Marketing, 2016, 33(5): 645–657.10.1080/10548408.2016.1167353Suche in Google Scholar
[18] Wenger A. Analysis of travel bloggers’ characteristics and their communication about Austria as a tourism destination. Journal of Vacation Marketing, 2008, 14(2): 169–176.10.1177/1356766707087525Suche in Google Scholar
[19] Tarui Y J. Recommendation system of tourist site using collaborative filtering method and contents analysis method. Jobu University Management Information Faculty Bulletin, 2011, 36: 1–14.Suche in Google Scholar
[20] Wang Y, Xu X, Feng X G, et al. Perception based text mining for town tourism image Zhujiajiao example. Tourism Science, 2013, 5: 86–95.Suche in Google Scholar
[21] Kato D J, Ishikawa H. Realization of tourism behavior analysis of foreign visitors to Japan using Twitter data. Transactions of the Institute of Systems, Control and Information Engineers, 2019, 63-1: 8–13.Suche in Google Scholar
[22] Yehuda K, Bell R, Volinsky C. Matrix factorization techniques for recommender systems. Computer, 2009, 42: 30–37.10.1109/MC.2009.263Suche in Google Scholar
[23] Hofmann T. Probabilistic latent semantic analysis. Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, 1999: 289–296.10.1145/312624.312649Suche in Google Scholar
[24] Covington P, Adams J, Sargin E. Deep neural networks for YouTube recommendations. Proceedings of the 10th ACM Conference on Recommender Systems, 2016: 191–198.10.1145/2959100.2959190Suche in Google Scholar
[25] MeCab. Yet another part-of-speech and morphological analyzer. https://taku910.github.io/mecab/Suche in Google Scholar
[26] Li J. Use of rwordseg. http://jianl.org/cn/R/Rwordseg.htmlSuche in Google Scholar
[27] Bottou L. Large-scale machine learning with stochastic gradient descent. Proceedings of COMPSTAT’2010: 177–186.10.1007/978-3-7908-2604-3_16Suche in Google Scholar
© 2019 Walter De Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Energy Consumption and Economic Growth Nexus in Bangladesh
- A Prediction Study on the Localization Policy of Improving the Satisfaction of Chinese Visitors to Japan by Using Matrix Factorization Techniques
- Multiobjective Imperialist Competitive Algorithm for Solving Nonlinear Constrained Optimization Problems
- Homophily Exclusion or Homophily Preference? The Influence of the Executive Identity of Nonexecutive Directors on the Focal Firm Executive Pay and Ordinary Employee Pay
- Indirect Tax Burden of Regional Residents: Study on Long Term MRIO Model
- General Method of Building a Real-Time Optimization Policy for Dynamic Vehicle Routing Problem
Artikel in diesem Heft
- Energy Consumption and Economic Growth Nexus in Bangladesh
- A Prediction Study on the Localization Policy of Improving the Satisfaction of Chinese Visitors to Japan by Using Matrix Factorization Techniques
- Multiobjective Imperialist Competitive Algorithm for Solving Nonlinear Constrained Optimization Problems
- Homophily Exclusion or Homophily Preference? The Influence of the Executive Identity of Nonexecutive Directors on the Focal Firm Executive Pay and Ordinary Employee Pay
- Indirect Tax Burden of Regional Residents: Study on Long Term MRIO Model
- General Method of Building a Real-Time Optimization Policy for Dynamic Vehicle Routing Problem