feedback searching 中文意思是什麼

feedback searching 解釋
反饋檢索
  • feedback : 反饋的信息
  • searching : adj 1 搜查的;搜索的。2 仔細的;徹底的;嚴格的。3 (目光等)銳利的。4 (冷風)刺骨的。n 搜尋;搜...
  1. There are also many other features available, such as auction management, searching, and managing feedback

    同時還會有其它一些特性,如拍賣管理、查找、管理反饋等。
  2. By synthesis analysis, sum up researcher network information resource need : ( 1 ) the degree of depends on library debase, ( 2 ) searching engine has become first channel to obtain specialty information, ( 3 ) database has turned into a tool in common use to inquire about electronic resource. ( 4 ) be short of full - text database is a problem to settle in the library, ( 6 ) quality, feedback and effective link are three important factors, which is evaluated searching system for user. ( 6 ) network reference need developing ulteriorly, ( 7 ) the need of interlibrary loan and document delivery is huge. ? personalized customization of information service exists some questions. ? ducational form of information users should diversification

    通過綜合分析,總結出科研人員網路信息資源需求具體表現在:科研人員對圖書館的依賴度降低;搜索引擎成為科研人員獲取專業信息的首選渠道;數據庫成為科研人員查詢電子期刊經常使用的工具;全文數據庫缺乏是圖書館急待解決的一大難題;質量高低、反應速度和有效鏈接是用戶評價檢索系統三個重要因素;網上參考咨詢服務有待進一步拓寬;館際互借服務呼聲很高,但存在的問題不容忽視;實施個性化服務略有爭議,一些方面有待商榷;用戶培訓形式注重多樣化。
  3. To promote information service ability of digital libraries, a browsing and searching personalized recommendation framework based on the use of ontology is described, where the advantages of ontology are exploited in different parts of the retrieval cycle including query - based relevance measures, semantic user preference representation and automatic update, and personalized result ranking. both the usage and information resources can be exploited to extract useful knowledge from the way users interact with a digital library. through combination and mapping between the extracted knowledge and domain ontology, semantic content retrieval between queries and documents can be utilized. furthermore, ontology - based conceptual vector of user preference can be applied in personalized recommendation feedback

    為了提高數字圖書館信息服務的能力,描述了一個基於本體的用戶瀏覽和搜索個性化推薦系統框架.該框架將本體的優點應用於檢索周期中,包括提問相關測度、語義化的用戶興趣表達和自動更新、以及個性化的檢索結果排序等.在用戶訪問數字圖書館的交互過程中,可通過本體來構造用戶提問和文檔內容的匹配機制以實現語義化的內容檢索,並可進一步使用本體來構造用戶興趣偏好的概念向量以實現面向用戶的個性化推薦反饋
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