| dc.contributor.advisor | 楊建民 | zh_TW |
| dc.contributor.author (作者) | 呂春美 | zh_TW |
| dc.contributor.author (作者) | Lu, Chun-Mei | en_US |
| dc.creator (作者) | 呂春美 | zh_TW |
| dc.creator (作者) | Lu, Chun-Mei | en_US |
| dc.date (日期) | 2010 | en_US |
| dc.date.accessioned | 5-十月-2011 14:32:40 (UTC+8) | - |
| dc.date.available | 5-十月-2011 14:32:40 (UTC+8) | - |
| dc.date.issued (上傳時間) | 5-十月-2011 14:32:40 (UTC+8) | - |
| dc.identifier (其他 識別碼) | G0096356006 | en_US |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/51209 | - |
| dc.description (描述) | 碩士 | zh_TW |
| dc.description (描述) | 國立政治大學 | zh_TW |
| dc.description (描述) | 資訊管理研究所 | zh_TW |
| dc.description (描述) | 96356006 | zh_TW |
| dc.description (描述) | 99 | zh_TW |
| dc.description.abstract (摘要) | 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。 | zh_TW |
| dc.description.abstract (摘要) | AbstractAccording 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 | en_US |
| dc.description.tableofcontents | 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 | zh_TW |
| dc.language.iso | en_US | - |
| dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0096356006 | en_US |
| dc.subject (關鍵詞) | 社會網絡 | zh_TW |
| dc.subject (關鍵詞) | 距離相似度 | zh_TW |
| dc.subject (關鍵詞) | 專業輪廓 | zh_TW |
| dc.subject (關鍵詞) | 人才推薦系統 | zh_TW |
| dc.subject (關鍵詞) | 關聯路徑 | zh_TW |
| dc.subject (關鍵詞) | Social Network | en_US |
| dc.subject (關鍵詞) | Similarity | en_US |
| dc.subject (關鍵詞) | Professional Profile | en_US |
| dc.subject (關鍵詞) | Specialist Recommendation System | en_US |
| dc.subject (關鍵詞) | Social Network Path | en_US |
| dc.title (題名) | 建構人脈社會網絡人才推薦系統之研究-以某國立大學EMBA人才庫為例 | zh_TW |
| dc.title (題名) | Social network-based specialist recommendation system- a case of national university EMBA datebase | en_US |
| dc.type (資料類型) | thesis | en |
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