Abstract
With the improvement of the material standard of living, the demand of the people for spiritual culture continues to increase. In terms of tourism, people have gradually shifted from simple tourism needs to integrated tourism needs. Tourism has become an effective way for people to expand their horizons and enrich their spiritual world. Tourism is one of the first industries to apply network technology. After long-term exploration and innovation, tourism e-commerce has developed rapidly. Coupled with the advent of the era of big data (EBD), the concept of customized tourism has gradually entered people’s lives. This paper mainly introduces the research on the impact of e-commerce tourism on custom tourism in the EBD and intends to provide some ideas and directions for the good development of custom tourism. This paper proposes a research strategy on the impact of tourism e-commerce on customized tourism in the EBD, including related theoretical research methods, random forest algorithms, support vector machine classification algorithms, and Bayesian estimation algorithms, which are used to customize tourism e-commerce in the EBD, and research experiment on the impact of tourism. The experimental results show that 79.84% of customers are willing to purchase related products again after experiencing travel customization services using big data technology. By using the various characteristics of tourism big data for data mining and classification, it provides users with personalized travel search services. At the same time, big data technology can provide basic technical support for customized tourism development, which shows that it can also provide customized services for users.
Highlights
With the development of the tourism industry and the upgrading of the consumer concept of the Chinese people, consumers have begun to seek a deeper tourism experience and the quality of tourism has gradually improved
Many professionals and investors are looking for new tourism models, customized tourism is in line with market growth trends, and its scale is expanding day by day, making it a significant force in the tourism industry. e intelligent age and the rapid popularization of the Internet and the combination of the travel industry and e-commerce have attracted many entrepreneurs to open up the online travel market
Liu et al found that the use of Internet technology has become a new way to provide tourism services, which is a new direction for the development of China’s tourism industry
Summary
With the development of the tourism industry and the upgrading of the consumer concept of the Chinese people, consumers have begun to seek a deeper tourism experience and the quality of tourism has gradually improved. Liu et al found that the use of Internet technology has become a new way to provide tourism services, which is a new direction for the development of China’s tourism industry. With the continuous development of Internet technology, e-tourism e-commerce sites have achieved rapid growth, with great growth potential. E innovations of this paper are as follows: (1) proposing the use of Bayesian estimation algorithm for tourism big data analysis; (2) proposing the structure design of tourism big data mining; (3) carrying out the tourism e-commerce under the big data era custom travel design. Choose major e-commerce sites, conduct structured interviews with selected travel site managers and employees, collect and organize data, and provide realistic guidance and research base. Structured interviews, called standard interviews or closed-ended interviews, mean that the researcher asks questions to the respondent in a consistent manner according to a predetermined outline and the respondent chooses from alternative answers, which is a closed verbal questionnaire. e advantages are the high controllability of the research, the high response rate, the strong structure, and the easy quantification [6]
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