Hidden Markov Model to Predict Tourists Visited Places
2021 22nd IEEE International Conference on Mobile Data Management (MDM)(2021)
摘要
Nowadays, social networks are becoming a popular way of analyzing tourist behavior, thanks to the digital traces left by travelers during their stays on these networks. The massive amount of data generated; by the propensity of tourists to share comments and photos during their trip; makes it possible to model their journeys and analyze their behavior. Predicting the next movement of tourists play...
更多查看译文
关键词
Tourist behavior,Hidden Markov Model,Grammatical Inference
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要