Tourist Routs Recommendation Based on Latent Dirichlet Allocation Model

摘要：

　　Tourism is an indispensable part of our life nowadays.At the same time, DIY tours become more and more popular.Traditionally, people have to spend a lot of time browsing websites and reading travel notes to select a suitable tourist route.With the help of tourist routes recommendation system, people can obtain their tourist routes satisfying their demands automatically.We improve a tourist routes recommendation system which based on Latent Dirichlet Allocation (LDA) model.The recommendation system firstly uses LDA model to dig out the hidden theme from a large number of documents.Then, by using Collaborative Filtering algorithm, grades are generated for each user to each travel routes.In this way, we can determine which route is most suitable to the user clearly.Our evaluation results indicate that our recommendation system is effective and has high level of satisfaction with users hobbies and interests.

关键词： recommendation system LDA collaborative filtering tourist routes

作者: Zhiqiang He Zhongyi Wu BochongZhou Lei Xu Weifeng Zhang

作者单位: Department of Computer Science and Technology,Nanjing University, Nanjing, China School of Computer, Nanjing University of Posts and Telecommunication, Nanjing, China

会议类型: 国际会议

会议名称: The 12th Web Information System and Application Conference第十二届全国Web信息系统及其应用学术会议(WISA2015)、全国第十次语义Web 与本体论学术研讨会(SWON2015)、全国第九次电子政务技术及应用学术研讨会(EGTA2015)

会议地点: 济南

会议语种:英文

页码: 201-206

在线出版日期: 2015-09-11（万方平台首次上网日期，不代表论文的发表时间）