| With the development of science and technology and the prosperity of self-help travel service, especially the personal development of user demand in recent years,tourist map has become essential in tourism activities and the demand for tourist map has changed from simple "data query" to deep "knowledge acquisition". At the same time, the massive Internet data in the "big data" era causes difficulties in user demand information acquisition. Though tourism custom service could help the tourists with their travel route planning and, to some extent, meet the user demand, the current service cannot provide plans effectively according to user demand because of problems as unavailable user information and unknown user behavior due to most users won’t provide their true information in the complex virtual world. Recently, tourism service providers and cartographers are trying to develop a service system which can analyze the user demand based on user behavior and recommend travel schedules to the customer actively. However, so far, the system has not yet appeared and related studies have not achieve great progress. Therefore, with the combination of personalized map service, personalized recommendation service, travel service and knowledge service, the tourism service system of knowledge map for personalized travel recommendations is built, and the main content of this article has been finished through theory analysis and technical realization. The main works and creations are as the following:1. The analysis of research status related to personalized map service and personalized travel service. The research status of personalized recommendation service, personalized map service, personalized travel services, knowledge acquisition and expression and the tourism service system of knowledge map are reviewed and the existing problems are analyzed. Then the purpose and meaning is illustrated and the content of this study is demonstrate.2. Study on personalized tourism knowledge map service. With the analysis of theories relate to tourism knowledge map service, travel services and personalized map service, correlative concepts about travel itinerary planning and tourism knowledge is summarized. At the same time, by the contrast of knowledge acquisition service mode and personalized map service mode, the tourism service mode of knowledge map for personalized travel recommendations is proposed and its technical framework is analyzed.3. Tour knowledge acquisition and construction of tour knowledge database. Based on the research of the current self-help travel trip planning service mode and the analysis of factors which can affect travel choice, the knowledge acquisition process of tourism knowledge map service is exploratory designed. At the same time, based on the principle of knowledge acquisition process, the tour knowledge database of tour knowledge map service is built, the user personalized travel rules extraction method based on Apriori algorithm is designed and its effectiveness is proved by experiments.4. Study on personalized travel recommendation and tour knowledge visualization. With the combination of the user personalized travel rules extraction method, user-oriented personalized travel recommendation process and the related calculation method of the recommended degree is designed and proved by experiments.Meanwhile, the principle and concepts of knowledge visualization is discussed and the visualization model of tour knowledge map is built based on the analysis of existing tour map visualization expression content, methods and patterns.5.Design and implementation of service system.According to the above content, the tourism service system of knowledge map is designed, the functional framework is constructed, and the service function of each part in the system is implemented. Finally, experiments show that this service system can give efficiently tour recommendation based on the user’s history behavior, and provide cartographic visualization of the recommended travel route. |
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