Rural tourism incorporating artificial intelligence technology to help modernize rural revitalization
In the process of modernization and development, intelligent technology empowers rural tourism, which in turn enables the effective implementation of the rural revitalization strategy. In this paper, a rural tourism recommendation model combined with artificial intelligence technology is constructed...
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| Format: | Article |
| Language: | English |
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Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
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| Online Access: | https://doi.org/10.2478/amns.2023.2.01379 |
| _version_ | 1797340538842644480 |
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| author | Gan Lu |
| author_facet | Gan Lu |
| author_sort | Gan Lu |
| collection | DOAJ |
| description | In the process of modernization and development, intelligent technology empowers rural tourism, which in turn enables the effective implementation of the rural revitalization strategy. In this paper, a rural tourism recommendation model combined with artificial intelligence technology is constructed, which effectively improves the accuracy and personalization level of tourist attraction recommendation by mining and analyzing tourism data and extracting tourism characteristic factors. Secondly, the random forest classification algorithm is used to establish a random forest preference attraction prediction model, and several recommendation algorithms are combined to design a personalized rural tourism recommendation model to improve the accuracy of tourists’ tourism recommendations. Finally, the countryside around a city is being investigated to explore the modern development of rural tourism and help revitalize rural areas. The results show that the number of people received by rural tourism in City A and the number of tourists received by the province in 2022 is 972 million and 1,424 million more than that of 2014, and the total income from rural tourism in City A and the total income from tourism in the province in 2022 is 724.8 billion and 1,202.02 billion yuan more than that of 2014, and it can be seen that the high level of tourism income maintains a positive correlation with the number of tourists received. It shows that rural tourism improves the overall economic level of the countryside, accelerates the process of social progress in rural areas, and strongly contributes to the modernization and development of rural revitalization. |
| first_indexed | 2024-03-08T10:04:31Z |
| format | Article |
| id | doaj.art-40b961da64784e75b7456ee1d2dbbf83 |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-08T10:04:31Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-40b961da64784e75b7456ee1d2dbbf832024-01-29T08:52:42ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.01379Rural tourism incorporating artificial intelligence technology to help modernize rural revitalizationGan Lu01Department of Design, Hefei University, Hefei, Anhui, 230601, China.In the process of modernization and development, intelligent technology empowers rural tourism, which in turn enables the effective implementation of the rural revitalization strategy. In this paper, a rural tourism recommendation model combined with artificial intelligence technology is constructed, which effectively improves the accuracy and personalization level of tourist attraction recommendation by mining and analyzing tourism data and extracting tourism characteristic factors. Secondly, the random forest classification algorithm is used to establish a random forest preference attraction prediction model, and several recommendation algorithms are combined to design a personalized rural tourism recommendation model to improve the accuracy of tourists’ tourism recommendations. Finally, the countryside around a city is being investigated to explore the modern development of rural tourism and help revitalize rural areas. The results show that the number of people received by rural tourism in City A and the number of tourists received by the province in 2022 is 972 million and 1,424 million more than that of 2014, and the total income from rural tourism in City A and the total income from tourism in the province in 2022 is 724.8 billion and 1,202.02 billion yuan more than that of 2014, and it can be seen that the high level of tourism income maintains a positive correlation with the number of tourists received. It shows that rural tourism improves the overall economic level of the countryside, accelerates the process of social progress in rural areas, and strongly contributes to the modernization and development of rural revitalization.https://doi.org/10.2478/amns.2023.2.01379artificial intelligence technologymining analysisrandom forest classificationrecommendation algorithmrural revitalization97m50 |
| spellingShingle | Gan Lu Rural tourism incorporating artificial intelligence technology to help modernize rural revitalization Applied Mathematics and Nonlinear Sciences artificial intelligence technology mining analysis random forest classification recommendation algorithm rural revitalization 97m50 |
| title | Rural tourism incorporating artificial intelligence technology to help modernize rural revitalization |
| title_full | Rural tourism incorporating artificial intelligence technology to help modernize rural revitalization |
| title_fullStr | Rural tourism incorporating artificial intelligence technology to help modernize rural revitalization |
| title_full_unstemmed | Rural tourism incorporating artificial intelligence technology to help modernize rural revitalization |
| title_short | Rural tourism incorporating artificial intelligence technology to help modernize rural revitalization |
| title_sort | rural tourism incorporating artificial intelligence technology to help modernize rural revitalization |
| topic | artificial intelligence technology mining analysis random forest classification recommendation algorithm rural revitalization 97m50 |
| url | https://doi.org/10.2478/amns.2023.2.01379 |
| work_keys_str_mv | AT ganlu ruraltourismincorporatingartificialintelligencetechnologytohelpmodernizeruralrevitalization |