本文選題：服飾搭配 + 網(wǎng)絡(luò)平臺　； 參考：《西安工程大學(xué)》2013年碩士論文

【摘要】：隨著網(wǎng)絡(luò)信息技術(shù)的發(fā)展，服裝電子商務(wù)以其獨特的優(yōu)勢成為一種全新的銷售渠道。近幾年來，服裝網(wǎng)上銷售的數(shù)量和銷售額成大幅度增長，服裝網(wǎng)絡(luò)營銷以其便捷的服務(wù)和相對低的成本已經(jīng)成為銷售商一種明智的投資和消費者一種必然的選擇。但由于消費者在網(wǎng)絡(luò)購物時對個性化服務(wù)要求的提高以及網(wǎng)絡(luò)購物中本身存在的很多不足，，阻礙了服裝電子商務(wù)的發(fā)展速度。通過調(diào)查發(fā)現(xiàn)，很多服裝網(wǎng)絡(luò)購物者在購買具體某款服裝時，并不知道是否適合自己的身體特征以及如何與其他服裝進(jìn)行搭配，從而盲目地買下了許多閑置的服裝，提高了服裝的穿著成本，而且消費者大部分的時間浪費在了不適合自己的衣服上，這樣的購買效率太低。本文針對這一問題進(jìn)行了相關(guān)研究，提出利用現(xiàn)在的互聯(lián)網(wǎng)和電腦軟件技術(shù)，把一流的服裝搭配師的專業(yè)知識和服飾配伍理論知識軟件化，在網(wǎng)絡(luò)營銷的終端上建立一個服飾配伍專業(yè)咨詢平臺來解決消費者網(wǎng)上購衣的難題，為服裝網(wǎng)絡(luò)銷售提供一個特色服務(wù)以此來推動服裝電子商務(wù)的發(fā)展。 本課題首先查閱了大量參考文獻(xiàn)，總結(jié)出了影響服飾配伍的相關(guān)因素，并針對研究內(nèi)容進(jìn)行了專家訪談。然后基于這些因素設(shè)計了調(diào)查問卷，并對問卷數(shù)據(jù)進(jìn)行了分析，得出了消費者對此項服務(wù)的需求程度和消費者最關(guān)注的影響服飾配伍效果的因子，為專家系統(tǒng)中在推薦服裝時考慮各因素的權(quán)重比例提供了參考和依據(jù)。在數(shù)據(jù)庫的構(gòu)建中，考慮到服裝款式存儲的特殊性，采用了交互式遺傳算法對服裝進(jìn)行編碼，通過交互式遺傳算法把專家的主觀評價作為個體適應(yīng)度賦值的依據(jù)從而來保證該平臺的專業(yè)性。最后，分析了平臺需要的相關(guān)技術(shù)支持以及平臺界面的模型。該平臺的工作服務(wù)原理為：在專家系統(tǒng)中專業(yè)的服裝搭配師分析衣服款式的相關(guān)資料并把這些信息形成數(shù)據(jù)庫和知識庫，顧客在登錄該平臺后進(jìn)行相關(guān)膚色體型等測試，專家系統(tǒng)根據(jù)得到的顧客信息，搜索資料庫中最能展現(xiàn)消費者個人特征的衣服資料及其相關(guān)搭配依次陳列出來并附有形象搭配師對整套搭配的解釋說明。 本文通過對服裝色彩、人體體型、服裝配飾等影響服飾配伍效果的因素進(jìn)行研究，提出了針對個人特征建立的服飾搭配咨詢平臺，從而為服裝網(wǎng)絡(luò)銷售提供了優(yōu)質(zhì)的個性化服務(wù)。該平臺不僅為消費者提供了個性化的搭配建議，也為服裝電子商務(wù)的良性發(fā)展提供了保障，具有一定的研究價值和實際意義。
[Abstract]:With the development of network information technology, apparel e-commerce has become a brand-new sales channel with its unique advantages. In recent years, the quantity and sales of online clothing sales have increased greatly. With its convenient service and relatively low cost, online clothing marketing has become a kind of wise investment and a necessary choice for consumers. However, due to the improvement of consumers' demand for personalized service when shopping on the Internet and the shortcomings in online shopping, the development of e-commerce of clothing has been hindered. The survey found that many online shoppers did not know if they were fit for their physical characteristics and how to match with other clothes, so they blindly bought a lot of unused clothes. It increases the cost of clothing, and consumers spend most of their time on clothes that don't suit them, which is too inefficient. This paper has carried on the related research to this question, proposed to use the present Internet and the computer software technology, the first-class clothing collocation teacher's specialized knowledge and the clothing compatibility theory knowledge software, This paper establishes a professional consulting platform of clothing compatibility on the terminal of network marketing to solve the problem of online clothing purchase for consumers and to provide a characteristic service for the online sales of clothing to promote the development of apparel electronic commerce. This subject first consulted a large number of references, summed up the relevant factors affecting clothing compatibility, and conducted expert interviews on the content of the study. Then based on these factors, the questionnaire is designed, and the questionnaire data are analyzed. The demand degree of the service and the factors that the consumers are most concerned about affecting the effect of clothing compatibility are obtained. It provides a reference and basis for the expert system to consider the weight ratio of each factor when recommending clothing. In the construction of database, considering the particularity of clothing style storage, interactive genetic algorithm is used to code clothing. Through interactive genetic algorithm, the subjective evaluation of experts is regarded as the basis of individual fitness assignment to ensure the professionalism of the platform. Finally, the related technical support and the model of the platform interface are analyzed. The working principles of the platform are as follows: in the expert system, the professional dress collocation specialist analyzes the relevant information of the clothing style and forms the information into a database and a knowledge base, and customers test the relevant skin color and body shape after logging on to the platform. According to the customer information obtained, the expert system searches for the clothing information and related collocation that can best show the individual characteristics of the consumer and displays them in turn with the explanation of the image collocation designer for the whole set of collocations. Based on the study of the factors that affect the effect of clothing compatibility, such as color, body shape and accessories, this paper puts forward a dress matching consultation platform based on individual characteristics. Thus provides the high-quality personalized service for the clothing network sale. The platform not only provides consumers with personalized suggestions, but also provides protection for the benign development of e-commerce. It has certain research value and practical significance.
【學(xué)位授予單位】：西安工程大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：TP311.52;F724.6;F426.86

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