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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/20368
標題: | 推薦系統於電子商務開店系統服務商之應用探討 Study on Applications of Recommendation System for E-Commerce Software as a Service Provider |
作者: | Chia-Hsien Yang 楊佳憲 |
指導教授: | 余峻瑜 |
關鍵字: | 開店系統服務商,內容基礎過濾,項目基礎協同過濾,個人化推薦, SaaS providers,Content-based Filtering,Item-based Collaborative Filtering,Personalized Recommendation, |
出版年 : | 2017 |
學位: | 碩士 |
摘要: | 電子商務的蓬勃發展,使得各式各樣的經營模式不斷興起,而最近興起的開店 系統服務商,能夠快速的協助各商家快速建立起屬於自己的品牌與對消費者溝通 的管道,若能藉由顧客交易資料對於會員偏好有所掌握及瞭解,就能協助這些店家 做到更好更精準的會員經營。
因此,此篇研究著重於探討從開店系統服務商的角色,如何利用目前手上僅有 的會員交易資料,並且透過研究兩家販售截然不同商品的客戶,探索嘗試利用內容 基礎過濾與項目基礎協同過濾的推薦策略,以瞭解在不同商品購買模式下,不同演 算策略展現出的推薦結果特性,以試著優化推薦效果並設計出更量身打造的演算 流程。 Various business models are born with E-Commerce’s fast growing. The new SaaS (Software as a Service) companies, in E-Commerce industries, can help E-Commerce retailers build their own brand and direct channel to communicate with their consumers. If SaaS companies can help these retailer clients to know more about their consumers’ preferences with consumer transaction data, it will help a lot for better relationship between clients and their members. Therefore, this research will focus on how to make good use of member transaction data from SaaS providers’ views. I will research two retailers who sell totally different goods, and try Content-based Filtering Recommendation strategy and Item-based Collaborative Filtering Recommendation strategy on them. I can know more about the characteristics of these two recommendation strategies within two different goods- purchasing modes from these trials, and then improve the recommendation result and design more tailored algorithms. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/20368 |
DOI: | 10.6342/NTU201701704 |
全文授權: | 未授權 |
顯示於系所單位: | 商學研究所 |
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ntu-106-1.pdf 目前未授權公開取用 | 1.13 MB | Adobe PDF |
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