English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 71578/104447 (69%)
造訪人次 : 19164727      線上人數 : 570
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    政大機構典藏 > 學術期刊 > 資管評論 > 期刊論文 >  Item 140.119/100311
    請使用永久網址來引用或連結此文件: http://nccur.lib.nccu.edu.tw/handle/140.119/100311


    題名: An Effective Pareto Optimality Based Fusion Technique for Information Retrieval
    作者: Batri, Krishnan
    關鍵詞: Information Retrieval;Data Fusion;Meta Search;Vector Space Model;Similarity Measures;Extended Boolean Model
    日期: 2013-09
    上傳時間: 2016-08-16 16:11:01 (UTC+8)
    摘要: Information Retrieval (IR) is the process of retrieving information that is relevant to the users' needs. Over the years, researchers tend to develop the best retrieval strategy, which achieves the best possible performance across all document collections. Their results indicate a pattern of tug-of-war relationship prevalent among the existing strategies, where in one strategy dominates the remaining strategies over other document collections. Data Fusion may nullify the aforesaid tug-of-war effect. It can extract the best possible performance among the participating members. Data Fusion in IR usually combines the various retrieval schemes (strategies) to enhance the overall system performance. Our proposed fusion functions assign relevance scores by considering non dependency among all participating strategies. Relevance score assignment based on the relationship between that specific document and all other documents in the corpus. The existing Comb functions treated as the baseline functions for our proposed functions. Proposed and baseline functions' performance tested among three medium size corpuses. The average precision value of functions indicates that, one of our proposed functions achieves better performance in comparison with the base line functions. The statistical analysis confirms the same.
    關聯: 資管評論, 19(1), 61-80
    MIS review
    資料類型: article
    DOI: http://dx.doi.org/10.6131/MISR.2013.1901.04
    顯示於類別:[資管評論] 期刊論文

    文件中的檔案:

    檔案 大小格式瀏覽次數
    19(1)-61-80.pdf1116KbAdobe PDF99檢視/開啟


    在政大典藏中所有的資料項目都受到原著作權保護.


    社群 sharing

    著作權政策宣告
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回饋