隨著網際網路的快速發展，數位學習的資源在網路中也持續遽增，使用者雖有更豐富的資源可以運用，且能利用檢索引擎便利得尋找資源，但卻常需要過濾龐大的檢索結果，才能找到其所真正需求的資源。因此本篇論文主要目的在於開發一個檢索服務，讓使用者能快速找到其所需求的資源，解決使用者在檢索數位學習資源時的困難。本篇論文首先設計一套檢索規則與介面，用來記錄資源的使用情況；接著利用社群理論，將較熱門、較受歡迎、較受好評的資源，視為較有價值的資源，檢索結果的排序將依照此資源價值的高低排序；最後，利用測量個人的使用情境與週期，將較貼近使用者使用情境的資源重新給予評分，使得最終檢索結果重新排序，達到個人化推薦的機制，使得使用者能更快速的找到其所需求的資源。

With the quick development of Internet, Digital learning resources in the network have continued dramatic increase. Although nowadays users can use increasingly abundant resources and powerful search engine to find resources conveniently, but they often need to filter out the huge searched results before finding the real need. Therefore, the main purpose of this paper is to develop a search service that enables users to quickly find the resources they need and to improve difficulties to retrieve e-learning resource.
In this paper, we first design retrieve rules and develop an interface to record the Service condition. Then, based on the social theory, we consider the more popular and more critically acclaimed resources are more valuable ones and sort the results in accordance with the level of the value. Finally, by measuring the individual situations and cycle of the user, we re-evaluate and re-sequence the resources so that the final re-ordered result will optimally meet the requirement of personalized recommendation and make users more quickly find the resources they need.

第一章 緒論	1
1.1. 研究背景與動機	1
1.2. 研究目的	3
1.3. 論文架構	4
第二章 相關研究工作	5
2.1. 資訊檢索	5
2.2. 數位學習儲存庫	11
2.2.1. CORDRA	12
2.2.2. MINE Registry	13
2.3. 時間序列探勘	14
2.3.1. Landmark Model	15
2.3.2. Sliding Window Model	16
2.3.3. Time-Fading Model	17
2.3.4. Tilted-Time Window Model	17
2.4. 推薦與排名系統	18
2.4.1. Google Page Rank	18
2.4.2. Personal Preference Search Service (PPSS)	19
第三章 研究方法與系統架構分析	24
3.1. 開發概念	24
3.2. 研究方法	26
3.2.1. 設計學習元件檢索規則與檢索服務介面	26
3.2.2. 檢索流程、學習元件評估原則設計	28
3.2.2.1. 檢索流程設計	28
3.2.2.2. 學習元件評估原則設計	29
3.2.3. 學習元件個人化推薦暨排序重調方法	34
3.2.4. 連續檢索路徑建立機制	40
3.3. 系統架構與分析	42
3.3.1. 學習元件評估模組	46
3.3.2. 學習元件個人化推薦暨排序重調模組	48
3.4.	系統分析	49
第四章 系統實作	56
4.1. 開發工具與建置環境	56
4.2. 系統介面與操作介紹	57
第五章 結論與未來展望	65
5.1. 結論	65
5.2. 未來展望	66
參考文獻	69
附錄 英文論文	74

圖目錄
圖 1、系統與學習資源之關係圖	12
圖 2、LANDMARK MODEL 示意圖	16
圖 3、SLIDING WINDOW MODEL 示意圖	16
圖 4、TIME-FADING MODEL 示意圖	17
圖 5、TILTED-TIME WINDOW MODEL 示意圖	18
圖 6、檢索介面	28
圖 7、檢索流程圖	29
圖 8、YOUTUBE評分系統	31
圖 9、使用者情境示意圖	36
圖 10、SEARCH PATH	42
圖 11、系統架構圖	43
圖 12、JSON格式範例	47
圖 13、學習元件評估模組架構圖	48
圖 14、個人化推薦暨排序重調模組	49
圖 15、PRECISION RECALL CURVE	52
圖 16、系統評估PR值結果	52
圖 17、NIAP評估結果	55
圖 18、檢索系統首頁	59
圖 19、推薦字詞	59
圖 20、建議字詞	59
圖 21、檢索結果列表	61
圖 22、介面功能說明	61
圖 23、使用者登入的歡迎訊息	62
圖 24、使用者使用情況網頁	63
圖 25、個人化檢索結果與連續檢索路徑	64

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