根據2010年人力銀行調查54%的尋找人才是以「工作分析」為主要依據，可見人才的遴選仍以經歷為主要因素。而近年來社會網絡與推薦系統普為應用於人才之找尋。
本研究實際以某國立大學EMBA學員資料，以同學與同事關係建置一個人脈社會網絡之人才推薦系統。本系統能依據使用者所輸入之人才搜尋條件，藉由距離相似度之運算，找出最接近的所需人才，並依距離相似度排序。其次，本系統可由各成員學歷，工作經歷所在之產業別，以及在組織中任職之功能別，來呈現人才之專業輪廓（Professional Profile），以作為決策者在遴選人才之依據。並提供所有關係路徑，以利使用者可進一步的諮詢路徑上成員對於推薦人選之評價。
本研究針對該校EMBA學員共計2,121人，應用資料探勘中群集分析建立推薦系統，有別於一般以關鍵字比對的搜尋方式，能找出與使用者需求條件相似度高的人才；並藉由人脈社會網路路徑，幫助使用者藉由自身的人脈評估推薦的結果。最後，本研究並提出結論、建議以及未來研究方向。

Abstract
According to the Job Bank survey in 2010, about 54% recruiters who search for specialist is mainly based on job analysis. This research is based on Social Network and Rcommendation system to build a relationship between the students and the colleagues with the personnel social network contacts, thus, a specialist recommendation system is constructed. First the system can compute the dissimilarity between the conditions users input and the background of people, find out the closest result required by sorting of similarity. Secondly, the professional profiles is established by the education background and work experiences (contain the various industries and position type), to serve as the basis for decision-makers in the selection of specialist. Besides, they can also inquire people from social network path for further appraisals of the candidate.
The research is based on EMBA students totaled 2121 people, applying cluster analysis of data mining to build up the recommendation system, opposite to using key-word matching as a way to search people. Thus, the study can find the highest similar conditions demand of input. Via the associated social networks paths, to help users identify and use their own network to assess the recommend candidates.
Finally, this study proposes conclusions, recommendations and future research directions.


Keywords: Social Network , Similarity , Professional Profile , Specialist Recommendation System , Social Network Path

目錄
圖目錄
表目錄
中文摘要
英文摘要
第一章 緒論 1
第一節 研究背景 1
第二節 研究動機 2
第三節 研究目的 4
第四節 論文架構 5
第二章 文獻探討 7
第一節 推薦系統之相關文獻探討 7
第二節　社會網絡相關理論與方法 21
第三節 資料探勘中的距離相似度計算 33
第三章 人脈社會網絡人才推薦模式與系統建構 37
第一節 人脈關聯人才推薦系統建構流程 37
第二節　人脈社會網絡人才推薦系統架構 40
第三節 系統建置環境與工具 57
第四章 某國立大學EMBA人才庫推薦系統雛型 58
第一節 人才推薦系統架構與尋才流程 58
第二節 人才推薦之專業輪廓評估屬性與計算說明 61
第三節　本研究人才推薦人脈社會網絡分析 68
第五章 系統展示說明 71
第一節　人脈社會網絡上的領域人才找尋流程 71
第二節 人才遴選情境 72
第三節 人才距離相似度排序 74
第四節 人才專業輪廓（Professional Profile） 76
第五節 人脈關聯網絡 78
第六節 人才專業輪廓實例說明 79
第六章 結論、建議與未來研究 81
第一節 研究結論 81
第二節 研究限制 83
第三節 未來研究方向 84
參考文獻 87

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