The effect of intelligent tour guide system based on attraction positioning and recommendation to improve the experience of tourists visiting scenic spots
With the advancement of technology and economic development, human living standards have been substantially improved. The demand for tourism has also increased. Smart tourism uses information technology to integrate tourism resources. Tourists are provided with the right travel solutions for their n...
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-09-01
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| Series: | Intelligent Systems with Applications |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667305323000881 |
| _version_ | 1797742625851179008 |
|---|---|
| author | Haiyan Niu |
| author_facet | Haiyan Niu |
| author_sort | Haiyan Niu |
| collection | DOAJ |
| description | With the advancement of technology and economic development, human living standards have been substantially improved. The demand for tourism has also increased. Smart tourism uses information technology to integrate tourism resources. Tourists are provided with the right travel solutions for their needs. To further enhance the tourist experience, a smart tour guide system based on attraction positioning and recommendation is proposed. The RankSVM+time algorithm and K-means clustering algorithm are used to achieve attraction recommendation. The tourist flow path planning method of scenic spots is combined with D*algorithm to realize dynamic programming of tourist routes. A smart tour guide system based on tourist demand analysis is established to achieve data interaction and attraction positioning. The tour guide system is built based on analyzing the needs of tourists, realizing the functions of data interaction and attraction location. Tour guide services are provided in the form of voice or image. The experimental data shows that the F-value of RankSVM+time algorithm reaches 0.75. The recommendation accuracy is higher than that of RankSVM+Markov algorithm. The shortest running time is 81 s, which is faster than other methods. The intelligent tour guide system also dynamically adjusts the route visit scheme when dynamic changes occur in the attractions. The results show that the intelligent tour guide system based on attraction location and recommendation is highly accurate, fast and adaptable, which can enhance the tourist experience of visitors. |
| first_indexed | 2024-03-12T14:43:18Z |
| format | Article |
| id | doaj.art-b7863ae904b74438b81ba4a101dee021 |
| institution | Directory Open Access Journal |
| issn | 2667-3053 |
| language | English |
| last_indexed | 2024-03-12T14:43:18Z |
| publishDate | 2023-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Intelligent Systems with Applications |
| spelling | doaj.art-b7863ae904b74438b81ba4a101dee0212023-08-16T04:27:31ZengElsevierIntelligent Systems with Applications2667-30532023-09-0119200263The effect of intelligent tour guide system based on attraction positioning and recommendation to improve the experience of tourists visiting scenic spotsHaiyan Niu0Tourism Institute, Yellow River Conservancy Technical Institute, Kaifeng 475003, ChinaWith the advancement of technology and economic development, human living standards have been substantially improved. The demand for tourism has also increased. Smart tourism uses information technology to integrate tourism resources. Tourists are provided with the right travel solutions for their needs. To further enhance the tourist experience, a smart tour guide system based on attraction positioning and recommendation is proposed. The RankSVM+time algorithm and K-means clustering algorithm are used to achieve attraction recommendation. The tourist flow path planning method of scenic spots is combined with D*algorithm to realize dynamic programming of tourist routes. A smart tour guide system based on tourist demand analysis is established to achieve data interaction and attraction positioning. The tour guide system is built based on analyzing the needs of tourists, realizing the functions of data interaction and attraction location. Tour guide services are provided in the form of voice or image. The experimental data shows that the F-value of RankSVM+time algorithm reaches 0.75. The recommendation accuracy is higher than that of RankSVM+Markov algorithm. The shortest running time is 81 s, which is faster than other methods. The intelligent tour guide system also dynamically adjusts the route visit scheme when dynamic changes occur in the attractions. The results show that the intelligent tour guide system based on attraction location and recommendation is highly accurate, fast and adaptable, which can enhance the tourist experience of visitors.http://www.sciencedirect.com/science/article/pii/S2667305323000881Attraction locationIntelligent tour guideClassification and sortingInformation collectionData interactionRoute planning |
| spellingShingle | Haiyan Niu The effect of intelligent tour guide system based on attraction positioning and recommendation to improve the experience of tourists visiting scenic spots Intelligent Systems with Applications Attraction location Intelligent tour guide Classification and sorting Information collection Data interaction Route planning |
| title | The effect of intelligent tour guide system based on attraction positioning and recommendation to improve the experience of tourists visiting scenic spots |
| title_full | The effect of intelligent tour guide system based on attraction positioning and recommendation to improve the experience of tourists visiting scenic spots |
| title_fullStr | The effect of intelligent tour guide system based on attraction positioning and recommendation to improve the experience of tourists visiting scenic spots |
| title_full_unstemmed | The effect of intelligent tour guide system based on attraction positioning and recommendation to improve the experience of tourists visiting scenic spots |
| title_short | The effect of intelligent tour guide system based on attraction positioning and recommendation to improve the experience of tourists visiting scenic spots |
| title_sort | effect of intelligent tour guide system based on attraction positioning and recommendation to improve the experience of tourists visiting scenic spots |
| topic | Attraction location Intelligent tour guide Classification and sorting Information collection Data interaction Route planning |
| url | http://www.sciencedirect.com/science/article/pii/S2667305323000881 |
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