| In recent years,due to the rapid development of personalized customization model,the tourism industry has been a greater impact.In the traditional way of travel,visitors’ tourism plan usually customized by the travel agency.But the travel agency will give priority to their own profits,and they would not customize different travel plan to visitors according to their preferences,so the experience by this plan is poor.Through personalized customization services,visitors can plan their own tourism plan according to their actual needs,thereby reducing their time costs and money costs,enhancing the tourism experience.With the improvement of people’s quality of life,the ancient village tourism began to enter the people’s vision,but the degree of development of ancient villages is not high,whether people understand the ancient village channels or access to ancient village information quality and quantity are subject to certain limit.In order to make the tourists more convenient in planning before the ancient village tourism and make the tourism experience better in the ancient village tourism,this paper studies the ancient village tourism model based on the ancient Chinese village information cloud platform.The concrete work of this paper is as follows:Firstly,this paper analyzes the factors that influence the experience of tourists in the process of sightseeing.After reading the relevant literature extensively,this paper analyzes four factors that affect the ancient village tourism experience from the perspective of tourist experience: scenic spot value,scenic spot feature,scenic lines and personal preferences,and further analysis of the quantitative measurement of these four factors.Secondly,by analyzing the influence factors of ancient village tourism experience,this paper divides it into two factors: harvesting factor and paying factor.Based on the method of measuring tourists’ experience,the paper puts forward the ratio of normalized harvesting factors and normalized paying factors to measure the travel experience of tourists in ancient villages,and to solve the problem using improved genetic algorithm to solve.Third,based on Django framework,this paper implements an ancient village tourism model based on the data of Chinese ancient village information cloud platform,and makes an instance test,contrast test and convergence test for the module.It proves that the model is effective,and it meet the needs of users more interest,allowing users to use as low as possible the cost of access to the highest possible customized travel experience,to provide visitors with better ancient village tourism services. |