An Adaptive Recommendation System for Museum Navigation on Handheld Device

• Main Authors: Lin Che Yu, 林哲瑜
• Other Authors: 洪啟舜
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/98076079986834206608

碩士 === 僑光科技大學 === 資訊科技研究所 === 100 === Most people like to visit exhibitions but exhibition information is too complicated and ineffective to understand and to help people to visit. There are many researchers proposed their methods to solve this problem. In this thesis, we design a new method in the exhibition recommendation system which combines the wireless internet techniques and used on mobile device to guide people to visit exhibitions in an initiative and effective way. The mobile guide system of an exhibition is a convenient and faster way to help people to get exhibition information. The recommendation system we proposed is based on the relationships of exhibition information and personal information that provides more suitable exhibition information for each user. Our system created user’s human portfolio according to users’ markup and property information via semantic web technology. In our research, we use parts of art archives in human portfolio and metadata method in this study. The information according to users’ styles and attributes can initiative to provide to the user. The exhibition information could be offered to users faster and appropriates