A Tourism Android Application through Augmented Reality and Data Mining

• Main Author: 賴建綸
• Other Authors: 賴聯福
• Format: Others
• Language: zh-TW
• Online Access: http://ndltd.ncl.edu.tw/handle/26398455403835245372

碩士 === 國立彰化師範大學 === 資訊工程學系 === 103 === With the popularity of smart phones and Apps, the behavior pattern of tourism planning is changed. Most people use travel websites or Apps to inquire about attractions, and use smart phones to take pictures and upload them to websites. Traditional travel websites provide the inquiring, the sharing and the discussion about travel information. However, these travel websites cannot recommend us some attractions or interact with us based on our personal situations. To alleviate the mentioned problems, we develop an interactive tourism App through augmented reality and data mining. We use the augmented reality technique to provide the interactions with personal images. The data mining approach including Apriori and FP-growth is adopted to recommend attractions based on personal situations.