Basic Theory And Key Technology Of Personalized Tourism Information Service System

With the development of economy and the improvement of living standards, the tourism industry has developed rapidly. At present, Self-organizing Tour is gradually replacing Agency Tour and will become the main way. Meanwhile, the people are getting higher and higher quality requirements of services. The change of the Tourism Concept and the higher quality requirements of services reflect the personalized demands and present a new challenge. But existing Tourism Information Service Websites can not satisfy it. It still lacks an efficient personalized information service system.So, we propose architecture of a personalized Tourism Information Service System and study some key issues involved. We build the User and the Tourism Information Service Ontology Model and a unified Service Description Mode. We propose a recommendation algorithm for tourism attractions based on the Context and the Trust Relationship. We put forward the composition algorithm of tourism information service based on the Context and Ant Colony Algorithm. In addition, we also propose an adaptive Performance-Aware Composite Job Management and Scheduling Framework.