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作 者:贺剑武[1] HE Jianwu(Guilin University of Technology,Guilin 541004,China)
机构地区:[1]桂林理工大学,广西桂林541004
出 处:《现代电子技术》2020年第14期183-186,共4页Modern Electronics Technique
基 金:国家社科基金西部项目(18XMZ969)。
摘 要:传统的旅游智慧平台存在信息少的问题,因此设计一种基于大数据分析技术的旅游智慧平台。根据旅游信息生成、传输、处理和应用的过程,设计基于大数据分析技术的旅游智慧平台模块。在此基础上,利用大数据分析技术挖掘旅游信息,为用户提供可视化旅游信息。根据挖掘的旅游信息,搜索用户历史记录,采用隐语义模型的推荐算法为用户推荐路线,将旅游信息挖掘结果、路径推荐结果、住宿、门票等信息输入到数据库,为旅游智慧平台的数据抽取、转换和加载提供数据平台,以此完成基于大数据分析技术的旅游智慧平台的设计。实验对比结果表明,此次设计的基于大数据分析技术的旅游智慧平台的信息比传统平台中,更加满足用户需求。As there is little information in traditional tourism intelligent platform,a tourism intelligence platform based on big data analysis technology is designed.A tourism intelligence platform module based on big data analysis technology is designed according to the process of generation,transmission,processing and application of the tourism information.On this basis,the tourism information is mined by means of the big data analysis technology to provide users with visual tourism information.User historic records are searched according to the mined tourism information,the recommendation routes for users are provided by means of the recommendation algorithm with latent semantic model,and the mined tourism information,recommended route,accommodation,tickets and other information are input into the database,which provides a data platform for the extraction,transformation and loading of data on the tourism intelligence platform,so that the design of tourism intelligence platform based on big data analysis technology is completed.The experimental comparative results show that the designed tourism intelligence platform based on big data analysis technology has more information than that of the traditional platform,and can meet more users′need.
关 键 词:旅游智慧平台 平台设计 大数据分析 信息挖掘 路线推荐 对比实验
分 类 号:TN919-34[电子电信—通信与信息系统] TP274[电子电信—信息与通信工程]
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