The Design Of Public Transportation Recommendation System Based On The Android

After nearly20years of development, China’s computer industry, communications industry has gained rapid development and remarkable progress. As the rapid development of communication industry, most of people are always inseparable from the mobile devices and the Internet in their daily life. At the same time, the computer communication technology makes people’s life and work more comfortable and convenient. In recent10years,the smart phone was such rapid developed that they almost could do anything which can be done on the computers, and the smart phone has become one of the necessities of our life.Along with the explosive growth of information and communication technology, and with people’s increasing reliance to the mobile devices and the Internet, a kind of "SoLoMo" model of development is rapid arisen and get affirmed by the people of the mobile internet. Among them,"Lo" which is also called the LBS (Location Based Service) location based service has become the research hotspot of the international community. However, as more and more mobile internet services based on the location are arisen, mobile users have been difficult to find a service which is suitable for their personal characteristics.To solve this problem, this paper put forward a kind of personalized recommendation system of intelligent public transportation, then design and implementation it on the Android platform. The system can not only provide traditional business information and bus lines search for mobile users, but also can provide personalized intelligent recommendation service for mobile users after recording their behaviors.In the beginning of this paper, it introduces the research background, research present situation and the development trend of the research. Then it discusses the technical demand and analysis related to the system. In the next chapter, detailed introducing the design and principle of the system client, and the function modules of the system. Emphasized introducing the data structure and the data management of the system. After the development of client, testing the system performance and giving the analysis recording to the test results. At the end of the paper, conducting a brief summary of full paper and putting forward the further work plan.