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研究生(外文):HSIN YI WANG
論文名稱:基於Reusability Tree及Search Guider法則建構
論文名稱(外文):Building Up B2C E-commerce Personalized Recommendation System Based on Reusability Tree and Search Guider Approaches
指導教授(外文):Chun-Chia Wang
中文關鍵詞:個人化電子商務推薦系統Search GuiderReusability Tree
外文關鍵詞:Search GuiderReusability TreePersonalized Recommendation System
  • 被引用被引用:0
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  • 下載下載:26
  • 收藏至我的研究室書目清單書目收藏:2
本研究之個人化電子商務推薦系統,是經由淡江大學網路多媒體實驗室(Mine Lab)所提出的Reusability Tree架構而建立的〝Search Guider〞系統,來做為本論文的研究方法,希望可以準確地找到產品之間的相關性。
1. 透過遠距教學的基本封裝概念,運用在個人化的推薦系統。
2. 本研究提供了商務兩端更便捷的個人化服務,不論是從客戶端或商業端來看皆是具有效益的。
E-commerce in modern society has become another small community, our daily necessities up can get from e-commerce. However, the network fast delivery and open sharing of information, making a lot of information flow on the Internet, makes the network information is not correct more and more. Users in many search results to find a truly consistent with the information they need is difficult to.
Therefore, we need a personalized e-commerce recommendation system, to improve the accuracy of the transmission business, so that both sides can do business more efficiently. Especially in the B2C transactions is to have a higher effectiveness, personal service or a personalized information is more effective with e-service. Hope that this research can present a more comprehensive, high precision of personalized recommendation system.
In this study, personalized e-commerce recommendation system, is through the establishment of Reusability Tree by the established framework "Search Guider" system to do the research for this article, and I hope you can find the correlation between the products.
In conclusion, this study presents two key parts. (1) The basic concept of distance learning can be used in personalized recommendation system. (2) This study provides a more convenient business of personal service, whether from a client or business side view of all is a benefit. E-commerce is fast and provides instant, accurate and fast search system, set up, more emphasis on its importance.
目  錄
中文摘要 I
誌謝 IV
目  錄 V
表目錄 VII
圖目錄 VIII
第一章 緒論 9
1.1. 研究背景與動機 10
1.2. 研究目的 13
1.3. 研究流程 14
第二章 文獻探討 16
2.1推薦系統 16
第三章 研究方法 26
3.1 SEARCH GUIDER 系統概念 26
3.2開發工具與環境 32
3.3系統介面與操作說明 34
第四章 案例分析 39
4.1 MATE DATE 39
4.2搜尋結果 41
第五章 結論與未來展望 45
5.1結論 45
5.2未來展望 45
參考文獻 47
附 錄 55

表4-1-1 Metadata 40

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