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Nature Environmental Protection, 2022, 3(4); doi: 10.38007/NEP.2022.030409.

Rural Tourism Marketing Strategy under Natural Protection Environment Based on Deep Learning


James Yong Liao

Corresponding Author:
James Yong Liao

Philippine Christian University, Philippine


With the development of rural tourism, rural tourism has become one of the fastest growing industries in China's tourism industry. However, the current marketing strategy of rural tourism is relatively simple, which is difficult to meet the needs of market development. In view of this situation, based on the theory of in-depth learning, this paper starts with the current situation of rural tourism development and the problems in tourism marketing, analyzes and studies the marketing strategies of rural tourism in China's natural protection environment, and puts forward effective countermeasures to provide reference for the development of rural tourism industry. The final experimental results show that the rural tourism marketing strategy should pay attention to reputation first, with the influencing factor value of 3.741, and should pay attention to service, followed by characteristics, with the influencing factor value of 3.540, and then factors such as price and geographical location. As one of the fastest growing industries in the tourism industry, rural tourism plays an important role in the development of China's rural tourism industry.


Rural Tourism, Deep Learning, Marketing Strategy Research, Practice and Innovation

Cite This Paper

James Yong Liao. Rural Tourism Marketing Strategy under Natural Protection Environment Based on Deep Learning. Nature Environmental Protection (2022), Vol. 3, Issue 4: 78-87. https://doi.org/10.38007/NEP.2022.030409.


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