| Summary: | 碩士 === 國立彰化師範大學 === 資訊管理學系所 === 104 === With the development of Internet, more and more travelers search for travel information on the Internet. The travelers could use those information to help them plan itinerary. Because of the universal mobile internet, we could get a variety of information immediately, and it helps us make decision better. There are many recommendation systems using context-aware and user-user similarity model, but these systems did not have an organizational structure.
In this study, we propose a travel recommendation system, providing recommendation based on travel topic. The system introduces ontology technology to discover the relationship between each tourist attractions, and build a travel topic model. It also aim to find potential travel topic from user’s travel histories. The system is context-aware which can perceive the context around the user. It will provide different recommendation results when the context changes. The season and distance context information is considered during the recommendation process.
The evaluation result shows that our system can provide high satisfaction. The system is sufficient to meet user’s requirement, and it is capable to provide the tourist attraction that user is interested.
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