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軟體開發

黃〇生

高雄市鹽埕區

顧客預算：一萬以下

31分鐘前

RD 工作

web 接案

Programmer 工作

1. 有想法與介面流程設計 2. 技術支援,聽從專家的建議 3. 沒有 4. 高雄市,鹽埕區

描述： 1. 目前正在修習資料庫管理的課程，老師教的不是很OK，但卻給了我不符合我當前水準的期末報告，並且占比成績40%，想請您教學資料庫跟網頁設計的相關家教及協助我完成期末專案，謝謝 2. mysql 3. Application Title: Fashion Focus Description: Fashion Focus is a diversified fashion sales platform that aims to connect designers, manufacturers and consumers to create a complete fashion ecosystem from design to retail. The most impressive point of the platform is that consumers can communicate with the designer, customizing what consumers really want. If consumers are interested in what the designer has created, they can purchase on the sales platform without any customizing process. Also, the platform has a personalized recommendation system, aiming to provide consumers with the most suitable product. On the other hand, the platform can show a statistical result for designer to know which style of product attracts the most consumers. Usefulness： – Similar platforms like Vogue offer designer showcases, but often do not offer direct purchase options integrated into the content. E-commerce platforms like ASOS or Zalando mainly focus on shopping. -- Points of differentiation: We combine the advantages of these platforms, allowing users to purchase products directly from the platform, enhancing user engagement and simplifying the shopping process. Beside, Fashion Focus offers more personalized fashion recommendations through advanced recommendation algorithms, which suggest items based on users' browsing history and preferences. Also, we provide detailed demographic statistics and browsing analysis for designers, helping them better understand their audience's preferences and enhance their design quality to attract more potential customers. Realness： We will present a website Description of the functionality that we plan to offer： -- Basic Functions ： User browsing and ordering functionality Product catalog and search Order processing and shipment tracking Introduction to designer philosophies Customizing clothing with designers -- Advanced Functions： a. Personalized recommendation system: Our platform will utilize advanced machine learning algorithms to deeply analyze user behavior and preferences, ********idi ng tailored fashion recommendations. This goes beyond general recommendations based on genres or categories, instead offering products that align with individual styles and preferences based on users' browsing history, purchase records, and interaction data. This means users will receive more precise, personalized recommendations that better match their individual needs, thereby increasing purchase rates and user satisfaction. b . Designer analysis tools: This function provides designers not only a showcase platform but also comprehensive demographic statistics and browsing analysis tools. We will combine the statistical knowledge we have learned from school, and make use of the view times and the products that have been sold at the platform, and write a R language code to analyze the data, and enable the designers to know their hottest products and the main trends. This helps designers gain insights into their target market, improve designs to meet market demands, optimize their brand positioning, attract more potential customers, and enhance market competitiveness. 此為我們設計的內容

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