隨著全球資訊網的日益普及，全球每天新網頁的增加數量約七百萬個，資料的大量複製、傳播與分享造成過量、品質低落和格式不一的資訊氾濫問題，如何協助使用者擷取關切的議題成為眾多學者研究對象。資訊的擷取主要包括搜尋及推薦方式，然而無論是何種方式大都是透過使用者歷史資料來找出使用者需求，且不會同時考慮影響決策結果的多個決策屬性，因此本研究以多準則決策中的層級分析程序來發展推薦系統。
層級分析程序具有模型單一、易於瞭解的特色，以階層式決策接近人類自然的思維來思考，並同時考慮所有影響決策的屬性，能夠對所有選擇方案進行全面評估且排出優先順序，使人們能夠在其目標下選擇一較佳的方案。此外，層級分析程序能夠將使用者的主觀意識藉由結構化的方式呈現出來，可以協助決策者作出更為理性且符合需求的判斷。本研究層級分析程序為基礎發展商品推薦系統，以期望能夠為使用者找出滿意度較高的商品。研究結果發現，以層級分析程序發展出的推薦系統所找出的產品確實比較符合使用者的需求而得到較高的滿意度；然而在系統操作上雖然滿意度不如排序方式高，但也在使用者認為滿意且可接受的範圍。

With the extension of the World Wide Web, more than 7 million new pages being exploited each day, the problem of information overload due to a large number of coping, spreading and sharing causes the decreasing information quantity, diverse format of information and low quality of information. More researchers research what methods including search and recommendation can help users gather the critical topics. Whatever methods use historical purchasing or browsing data to find the proper information usually, can not considering all attributes affecting decision results. Therefore, the research uses Analytic Hierarchy Process belonging Multiple Critical Decision Theory to develop recommendation system.
Providing a single, easy understand model, using hierarchic structuring reflecting the nature tendency of the mind, considering all attributes affecting decision results, Analytic Hierarchy Process takes into consideration the relative priorities and select the best alternative. Furthermore, it can show the subjective consciousness of the user in a structure way and assist designer to determine a more rational and conformable judgment. Based on Analytic Hierarchy Process, the commerce recommendation system expects to help user to find more satisfactory merchandise. It is found that the recommendation system using Analytic Hierarchy Process finds the accurate products for user and gets the higher satisfaction. However, the operation satisfaction is not higher that rank-based but still in available and satisfaction scope.

第一章 緒論 1
第一節 研究背景 1
第二節 研究動機 3
第三節 研究目的 4
第四節 研究流程 5
第五節 論文架構 6
第二章 文獻探討 7
第一節 推薦系統 7
第二節 多準則決策制定 10
第三節 層級分析程序 12
第四節 系統滿意度 18
第三章 AHP-Based推薦系統之架構發展與實作 19
第一節 系統概述 19
第二節 AHP-based的推薦系統 21
第三節 建立層級結構 22
第四節 屬性正規劃 27
第五節 決策模式的建立 30
第四章 實證評估 33
第一節 研究模式與變數 33
第二節 研究假說 34
第三節 實驗設計 35
一、雛型系統架構 35
二、對照系統 36
三、實驗流程 38
四、實驗系統介面 39
五、實驗樣本 42
六、實驗環境 43
七、問卷設計 43
第四節 實驗前測 46
第五節 樣本基本資料敘述統計 47
第六節 信度與效度檢驗 49
第七節 假說檢定 52
第八節 假說檢定結果摘要 59
第六章 結論與建議 60
第一節 研究發現與討論 60
第二節 研究限制 62
第三節 研究貢獻 63
第四節 未來研究方向與建議 64
參考文獻 65
一、中文文獻 65
二、英文文獻 67
附錄一 專家問卷 73
附錄二 系統滿意度問卷 75
附錄三 系統程式碼 77

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