Academic Journal of Computing & Information Science, 2022, 5(7); doi: 10.25236/AJCIS.2022.050709.
Xinran Wen Fei, Ling Zou
School of Software, Jishou University, Zhangjiajie, 427000, Hunan, China
With the advent of the era of big data, traditional tourism has begun to turn to smart tourism. Using big data, cloud computing and other related technologies, this paper puts forward the construction idea of smart tourism platform, which aims to strengthen the connection between tourists and tourism information, provide domestic and foreign tourists with a highly stable, safe and reliable smart tourism personalized recommendation platform—Smart travel, improve the service quality of tourism and ensure the development of tourism informatization. In view of the lack of traditional tourism information and incomplete tourism services, the collaborative filtering algorithm of the project is adopted and improved, which mainly analyzes the historical data of tourists and the interaction behavior between tourists and the system, and uses mahout to realize the distributed intelligent tourism recommendation system to provide tourists with more efficient personalized service information.
Big Data, Smart Tourism, Zhangjiajie, personalized platform
Xinran Wen Fei, Ling Zou. Research on the New Mode of Smart Tourism in Zhangjiajie Based on the Big Data. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 7: 55-60. https://doi.org/10.25236/AJCIS.2022.050709.
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