Design And Implementation Of Intelligent Tourism Platform Based On Android

With the development of network technology and material life level of people, significant changes have also taken place in people’s life style and consumption habits.Especially in recent years, people begin to pursue the high quality of the spiritual and cultural life, so traveling has become more and more popular.Due to traditional mass tourism form of shortcomings cannot have satisfied the increasingly diverse demand of consumers.Under the influence of network information technology, the informatization of tourism industry has become a kind of trend. So the concept of the wisdom of tourism appeared.To serve the tourists as the center, it is based on the advanced Internet/Mobile Internet technology,in order to meet the personalized needs of tourists and provide the high quality travel service for the tourists.The form of the combination of information technology,tourist resources and social resources is a profound change, which is the leader of the service industry for information.The paper analyzed the current demand of different travel groups with the combination of the actual situation of the domestic tourism development based on the analysis of the intelligent tourism platform in the domestic or abroad.The paper designed the architecture and developed the platform for wisdom tourism based on on mobile Internet technology with the combination of the present popular Android, Web Service, HTML5 technology.In addition, this paper introduced the concept of recommendation systems and then introduced a kind of fusion of residence time class hidden Markov model of the personalized recommendation in detail.The model uses the transfer of implicit state variables to simulate the user’s interest changes and residence time to describe the degree of affection for an interest users and the importance of the recommended page.Then,the paper introduced the stationary distribution of user clustering method based on this model and analyzed its performance.It shows that the personalized recommendation model based on the class hidden Markov has good performance by analyzing the experimental data.Wisdom tourism enriches the tourists experience and improves the quality of the tourists which is based on the Android platform that provides a set sightseeing, shopping, accommodation, catering, entertainment in one of the personalized service.