選擇到哪家餐廳用餐的問題，不論旅遊或家居都經常會遇到。大多數的人會先上網，尋找符合自己喜好且評價好的美食。然而網際網路發達，在人人都可上網分享的情況下，造成資訊氾濫超載。使得使用者上網瀏覽資料時，很容易找到不切合需求的資訊。解決此資訊超載的方法之一是餐廳推薦系統。儘管目前有很多的推薦應用程式或是分享平台，諸如TripAdvisor、iPeen愛評網、foursquare…等等，資料豐富但卻沒有針對個人偏好做推薦。 　　本研究有鑒於許多人在品嘗美食之前，會先拍照並在Facebook或Instagram打卡做紀錄、分享給朋友，打卡的次數可能意味著此餐廳的熱門度。且使用者選擇的美食類型偏好也可能受到聚餐目的的影響。因此開發出一款結合社群互動圈以及考量用餐情境的餐廳推薦系統。此系統先利用使用者所選擇的聚餐場合、價位、餐廳類型、熱門商圈等元素篩選出合適的餐廳，再利用Facebook打卡資料取得與使用者偏好相似的好友，依據好友的相似度推算出使用者對餐廳的喜好程度，推薦符合使用者興趣及需求的餐廳，協助使用者能夠更容易地找到自己所喜好的店家。 　　本研究的實作系統，經過評估測試，結果發現結合社群互動圈及考量用餐情境的個人化推薦能讓使用者更容易找到自己所喜好的餐廳，而在推薦內容中顯示好友對餐廳的評論，更有效的幫助使用者作決策。未來本推薦系統所使用之結合情境元素所設計的模式亦可應用至其他領域的推薦平台，如旅遊景點推薦或旅遊住宿推薦。 / Most people face the issue of deciding which restaurant to eat. Searching through the Internet is the first step that people usually do. However the rapid growth of information has overloaded the Internet users, it makes difficult to find the most appropriate information for decision-making. Certainly there are several restaurant recommender systems have been developed to solve the problem, such as TripAdvisor, iPeen, foursquare, etc; but few systems provide personalized and context-based recommendations. 　　The research intends to develop a restaurant recommender system that considers the factors of social network and context. Nowadays, when people eat, they like to take a picture and check in on Facebook or Instagram to share with friends, the numbers of check-in for a restaurant may mean the restaurant’s popularity. In addition, the gathering purpose and personal preferences may also affect the users’ decisions. Therefore the recommender system first used the variables of eating criteria such as place, price, types of food, eating environments to filter restaurants. The system then got the user’s similar friends from check-in data of Facebook. Through calculating friends’ similarity and their preference of restaurants, the recommender system finds the most fitted ones for the user to choose from. 　　The afterward system’s users testing data prove that this personalized and context-based recommendation system provides better information to help the user make their decisions. The same model can be replicated to other domain of recommender platforms.

在互動敘事(Interactive Storytelling)的應用中，適當的攝影機規劃能幫助我們呈現虛擬世界中所發生的故事。在本研究中，我們設計了一個可以讓使用者設計互動敘事的應用平台－IMStory。針對故事創作，我們提供了一個故事腳本的描述語言及其剖析器，當使用者撰寫好互動故事之後，系統便能夠根據故事情境內容及與使用者互動的結果產生出符合情境的自動攝影機規劃系統。在此系統中，我們建立了一個能夠讓攝影機理解故事腳本的關係模型，建立虛擬攝影機組態與「故事情境」間的對應關係，即時找出更能表達當時情境的拍攝方式與架設位置。最後，我們設計了一個場景劇本進行實驗，在實驗中，我們的系統能夠即時因應場景中角色物件的位置作出即時的攝影機規劃，並且能夠配合互動環境中改變的情境參數而使用適合的攝影模組，產生出符合攝影學法則且賦有敘事能力的鏡頭。透過我們的方法，希望能提供一個更加有敘事能力的互動敘事平台。 / In an 3D interactive storytelling system, virtual camera is the key for us to understand what happens in the virtual world. In this thesis, we have designed an intelligent camera planning system for interactive storytelling, in which story plots are influenced by the user’s actions. Since the story flow cannot be determined in advance, it is essential to utilize real-time camera control to express the story for given spatial relationships between characters and objects. A script language and its parser were designed for our storytelling system (IMStory) to describe events in the story as well as the contexts associated with the events to model the properties of a story for camera control. We have developed a camera planning system by mapping contexts parameters into appropriate camera control parameters. We have implemented the 3D interactive storytelling system and demonstrated its capabilities with several examples. The camera planning system is shown to perform in real time, and the generated shots are more expressive in establishing the relation between camera configurations and story context.