摘要

本文以眉山三苏文化旅游及相关文旅景点为研究对象，在深度分析文化旅游研究现状的基础上构建了人工智能聚类算法与旅游推荐融合机制，将人工智能聚类算法引入旅游研究，为游客推荐匹配兴趣需求的文化旅游资源。首先分析了研究目标与决策思路，将人工智能技术融入旅游研究，对三苏文旅资源的属性和空间结构进行挖掘，将智能优化算法与旅游线路决策相融合。其次，构建了三苏文旅资源空间分布模型、基于人工智能聚类算法的三苏文旅资源特征属性挖掘模型、基于空间可达的三苏文旅资源空间属性挖掘模型、基于兴趣匹配的三苏文旅资源推荐模型和三苏文化旅游线路规划与决策方案。最后，分析了三苏文化旅游景点挖掘与决策的应用领域，为游客和旅游管理部门规划旅游线路提供决策支持。

Abstract

This paper takes Sansu cultural tourism and related cultural tourist attractions in Meishan as the research object. On the basis of an in-depth analysis of the current status of cultural tourism research, it constructs an integration mechanism combining artificial intelligence clustering algorithms and tourism recommendation. By introducing artificial intelligence clustering algorithms into tourism research, the system can recommend cultural tourism resources matching tourists’ interest demands. Firstly, the research objectives and decision-making ideas are analyzed. Artificial intelligence technology is integrated into tourism research to explore the attributes and spatial structure of Sansu cultural tourism resources, and intelligent optimization algorithms are combined with tourism route decision-making. Secondly, five models and schemes are established: the spatial distribution model of Sansu cultural tourism resources, the feature and attribute mining model of Sansu cultural tourism resources based on artificial intelligence clustering algorithm, the spatial attribute mining model of Sansu cultural tourism resources based on spatial accessibility, the Sansu cultural tourism resource recommendation model based on interest matching, and the planning and decision-making scheme of Sansu cultural tourism routes. Finally, the application fields of cultural tourist attraction mining and decision-making are analyzed to provide decision support for tourists and tourism administrative departments in tourism route planning.

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