Applying Study Of The Data Mining In Recommendation System Of The E-Commerce About Tourist Route Planning

With the development of economic and growth in living standard, tourist presents unprecedented level of growth momentum, numerous beauty spot and new pattern of diversified tourism consumption is becoming more and more appreciated. However, with the rapid development of tourist, in the meantime, which faces tough competition. How to integrate tourist resources and improve quality of service, is a problem for various regions; and how to enhance the competitiveness of enterprises by providing a reasonable tourist routes for tourists, is also a problem for tourism operators; as a tourist, it is difficult to choose a route when lack of adequate information . The emergence of E-Commerce recommendation system undoubtedly provides a new way and notion for it.The current hotspots research of recommendation centre on how to increase of recommending efficiency and rate of accuracy, the E-Commerce recommendation system interacts consumers by interfaces directly, and which recommends products to help consumers to choose products. While, from the point of the web sate, it needs to provide as many as possible items to satisfy different customer with different consuming preferences so as to improve customers'loyalties.Although E-Commerce recommendation system have been developed in both research and practice, challenging research problems remain, especially in tourist routes, which didn't take full advantage of the related technology. Aimed at this, the paper concentrates algorithm as well as application on tourist routes recommendation system.Firstly the paper gives a detailed introduction to the definition, technologies and study orientations of E-Commerce recommendation system, and then mainly introduces the concepts association rules, by analyzing Apriori algorithm and its improvement, and using them in E-Commerce tourist routes recommendation system, to obtain the association relationship of spots, it acquires good effects.Then, with the help of data mining technology, and according to the characteristics of tourist routes, analyze the route planning regularity systematically and objectively ,breach traditional thought of arranging and inducing tourist routes simply, create a new method that using computers to analyze tourist routes.The paper proposes E-Commerce tourist routes recommendation system which based on data mining, and designs an E-Commerce tourist routes recommendation system that had the basic functions, which play a positive role for promoting the development of the tourism industry and improving competitiveness of the industry.Finally, the paper summarizes the researching work, and takes a glance into the future work.