於GAE雲端結合Android之美食導覽系統

台灣多元的飲食文化向來為外來觀光客所津津樂道，除了在地美食小吃，因不同文化的流入，造就西式料理、日式料理，東南亞料理等美食，使得台灣擁有美食天堂的美名。根據「台灣趨勢研究」近幾年統計，過去五年我國的餐飲業呈現逐年成長的趨勢。因此本研究目的是應用Google所開發的Google服務引擎(Google App Engine，GAE)，結合Android平台與行動網路的發展建立適地性服務(Location Based Service，LBS)，並實作美食導覽系統平台及服務。透過Material Design設計原則能輕易上手美食導覽系統平台，提供適地性服務，增加使用者的便利性；而美食導覽系統的評論評分功能，可以得知餐廳美食的評價以及評語，以便尋找更加適合的美食。透過Term Frequency-Inverse Document Frequency(TF-IDF)資訊檢索方法將使用者的評論進行分類，將資訊提供給業者或是使用者，業者透過這些資訊將可以知道使用者的感受，並改善問題使餐廳評價提高，使用者透過這些資訊將可以知道餐廳的評價好壞與否，並選擇更好的餐廳享受更好的服務品質。因此TF-IDF資訊檢索方法可使業者與使用者雙方獲得更有參考價值的資訊，研究的第二個目的是將實作完成的系統供多人試用，並以科技接受模式作驗證，確定導入此一系統的使用者滿意度。

關鍵字

安卓； Google應用服務引擎；適地性服務；詞頻-逆向文件頻率；實感設計；科技接受模式

並列摘要

Taiwanese food is popular with foreign tourists. Except for local food, there are many kinds of food like western, Japanese, and south-east Asian because of the culture exchange. It makes Taiwan an honor of food paradise. According to Taiwan Trade Research (TTR), the catering in Taiwan has increased over last 5 years. For these reasons, we use Google App Engine (GAE) to combine Android and Location Based Service (LBS) in order to make a system that provides navigation and service. This system is called “gourmet navigation system”. It’s easy to use gourmet navigation system by the principle of material design. The location-based service promotes the convenience to users. Besides, the comments and scores in gourmet navigation system give users the information of restaurant. we use Term Frequency–Inverse Document Frequency (TF-IDF) to classify the comments and provide the information to shopkeepers or users. Shopkeepers will know how users feel and make better in the future. Through these information, users can tell the evaluations and choose the restaurant with better survive quality. Therefore, TF-IDF can make enterprise and user to get valuable information and get to a win-win situation. The second purpose is to complete the system for trails and Technology Acceptance Model (TAM) for verification to determine the satisfaction of users to the system.