摘要
黄山市地区具有景点众多、游客基数庞大等特点,游客在出行时的需求各不相同。千篇一律的传统服务不能满足每一位游客的要求,也无法让游客深入了解黄山市人文风景,同时限制了互联网与旅游结合的发展方向和地区经济发展高度。为了解决这一问题,向黄山市游客推荐当地特色景点、商家、规划出行计划和提供定制化旅游体验服务。本文通过基于标签推荐算法的旅游规划APP的开发,指出互联网与旅游业结合的重要性和必要性。
Huangshan City has many scenic spots and a large number of tourists.Due to the great differences in travel needs of tourists,the traditional services are not only difficult to meet the requirements of every tourist,but also unable to make tourists deeply understand the humanistic landscape of Huangshan City.The combination of Internet and tourism can effectively promote the development of regional tourism economy.This paper develops a tourism planning app based on tag recommendation algorithm,which can recommend characteristic scenic spots,make travel plans and customize tourism services for tourists.
作者
谢上
胡省莎
韩茂洲
XIE Shang;HU Shengsha;HAN Maozhou(Huangshan University,Huangshan,China,245000)
出处
《福建电脑》
2021年第9期79-82,共4页
Journal of Fujian Computer
基金
黄山学院2020年度大学生创新创业训练项目“基于标签推荐算法的个性化旅游规划APP”(No.202010375053)
黄山学院自然科学研究项目“大数据时代古村落深度游的多维度研究”(No.2020xzx004)资助。
关键词
旅游
标签推荐算法
自主规划
TF-IDF算法
相似度
Tourism
Label Recommendation Algorithm
Autonomous Planning
TF-IDF Algorithm
Similarity
