An Algorithm for Personalized Tourism Recommendation Based on Time Series

摘要：

　　For travelling,a tourists choice of one destination spot is inevitably influenced by both their previous favourite and successive plan.In view of this,this paper proposes a recommendation algorithm based on time series incorporating three clustering algorithms,i.e.,K-Means,MCA and Build Classification.The idea of this algorithm is to find the authoritative users of a spot,cluster their evaluated resources,find the previous and successive relevance of this spot according to the evaluation time,and then recommend the successive spot of the current focus to the user in sequence.

关键词： Algorithm Recommendation Time Series Spot

作者: Yeping Peng

作者单位: Software College of Jishou University,Zhangjiajie,Hunan Province,China

会议类型: 国际会议

会议名称: 2019年第二届智能系统研究与机电工程国际会议(ISRME 2019) 2019 2nd International Conference on Intelligent Systems Research and Mechatronics Engineering

会议地点: 太原

会议语种:英文

页码: 350-353

在线出版日期: 2019-06-29（万方平台首次上网日期，不代表论文的发表时间）