A Campus-Aware Service System Based on the User Tracking History

• Main Authors: Guo Wei Chung, 鍾國偉
• Other Authors: Ho Chuan Huang
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/67497247692505196535

碩士 === 國立高雄應用科技大學 === 資訊管理系 === 98 === Context-aware systems recommend services to users based on user's current context. However, most of the campus context-aware systems only consider the context about time, locations, and identities of users but ignore the preference of users, such as interests or habits. The interests or habits of users may be changed when the time varied. As a result, it is more difficult to precisely find out the suitable needs of users if only current context is considered by the system. Therefore, the purpose of this study is to employ personal history information to identify user's situation for providing users with more precise personalized services in a campus environment. With the assistance of OWL (Web Ontology Language) of Semantic Web technology, the user's tracking history (such as, past activities and tracking paths) is combined with the current context to predict the most suitable services for users by analyzing and reasoning the relationship between user's tracking histories and current context (such as, the relationship between the types of past activities and the types of current activities). In this study, the questionnaire of user satisfaction was also used to evaluate the proposed system's function after the participants has completed the experiment. The results showed that the system can meet the requirements of users based on the proposed method with the users' tracking history.