Abstract
The existing personalized recommendation methods for tourism routes have the problem of low tourist satisfaction, so a personalized recommendation method for rural tourism routes based on mobile social networks is proposed. According to the mobile social network model, calculate the number of mobile message hops and define a set of social information paths to complete the processing of travel route data based on mobile social networks. On this basis, implement denoising of tourism route data, determine personalized route recommendation schemes by deriving route sequences, and complete the design of personalized rural tourism route recommendation methods based on mobile social networks. The experimental results show that under the influence of the above methods, the number of tourists choosing fixed tourism routes significantly increases, and the satisfaction level of tourists with the recommended routes also increases, which meets the practical application needs of personalized recommendation of rural tourism routes.
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Liu, Y., Geng, Q. (2024). Personalized Recommendation Method of Rural Tourism Routes Based on Mobile Social Network. In: Yun, L., Han, J., Han, Y. (eds) Advanced Hybrid Information Processing. ADHIP 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 549. Springer, Cham. https://doi.org/10.1007/978-3-031-50549-2_10
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DOI: https://doi.org/10.1007/978-3-031-50549-2_10
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