隨著時代的進步，電子商務日益茁壯，網路購物已成為重要的消費形態，但
面對琳瑯滿目的商品，消費者難以從中選擇出符合自己需求的商品，而推薦系統
的發展即是因應解決此問題。如今，推薦系統已廣泛應用於電子商務的服務中，
如推薦書籍、電影、餐廳、住宿、服裝等，各種生活上的需求。其中服裝市場占
網路購物一個重要地位，而服裝的推薦會因為情境、身份、年齡、性格等多項因
素影響，在生活上人們選擇衣物大多是參考親友建議、時尚雜誌或個人穿著時尚
感，對於這些資訊所提供的衣物相關的屬性主要為顏色、款式、形狀、紋路、品
牌構成。在需求上，人們可能會因為自己的衣櫥擁有的衣物做購物考量，或者中
意某項單品而想找可與之搭配的商品，又或者想知道各項單品搭配起來的視覺觀
感，這也都是使用者再搭配穿著所可能遭遇的困難。根據以上需求，在本論文中
我們提出一個人化的穿著推薦系統，此系統透過收集初始問卷來建立出使用者的
穿著喜好，並針對特定場合下或指定單品中給予適宜的推薦，在實驗的結果中表
示本系統對人們的穿著選購中是有實質的幫助。

With the progress of time, and the booming of e-commerce, online shopping has become an important consumption patterns, but the face with many goods, consumers are not easy to find what they want, and the development of recommendation system is in response to resolve this issue. Today, the recommendation system has been widely used in e-commerce services, such as recommended books, movies, restaurants, lodging, clothing, all kinds of life needs. Clothing online shopping market which accounts for an important position, and clothing is recommended because of the situation, identity, age, personality and many other factors in life most people choose clothes reference relatives suggested that individuals dressed in fashion magazines or fashion sense, for the information provided is mainly related properties
clothing color, style, shape, texture, brand form. On demand, it may be because your wardrobe with clothes do shopping considerations, or a single product and want to find an Italian can be matched with a commodity, or want to know the single product together with visual perception, which users are also worn by then with difficulties that may be encountered. According to the above requirements, we proposed a personal wearing recommendation system that collected through an initial questionnaire to establish the user's wearing preferences, and give an appropriate recommendation for a specific occasion or to specify a single product. Finally, expressed in the results of the experiment the system is optional on people's dress is useful help.

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