English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 54451/89232 (61%)
造訪人次 : 10569702      線上人數 : 24
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU 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
    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/115342


    題名: Weight-Adjustable Ranking for Keyword Search in Relational Databases
    作者: Chichang Jou, Sian Lun Lau
    關鍵詞: Keyword Search, Information Retrieval, Ranking, Mean Average Precision, Rank Reciprocal Difference
    日期: 2018-08-08
    上傳時間: 2018-10-23 12:11:49 (UTC+8)
    摘要: Huge volumes of invaluable information are hidden behind web relational
    databases. They could not be extracted by search engines. The problem is
    especially severe for long text data, for example: book reviews, company descriptions,
    and product specifications. Many researches have investigated to integrate
    information retrieval and database indexing technologies to provide keyword
    search functionality for these useful contents. Due to diversifying data relationships
    in application domains and miscellaneous personal preferences, current
    ranking results of related researches do not satisfy user requirements. We design
    and implement a Weight-Adjustable Ranking for Keyword Search (WARKS)
    system to address the issue. Mean average precision (MAP) and mean rank reciprocal
    difference (MRRD) are proposed as measurements of ranking effectiveness.
    We use an integrated international trade show database as our experimental
    domain. User study demonstrates that WARKS performs better than previous
    practices.
    關聯: NA
    顯示於類別:[資訊管理學系暨研究所] 會議論文

    文件中的檔案:

    檔案 大小格式瀏覽次數
    index.html0KbHTML46檢視/開啟

    在機構典藏中所有的資料項目都受到原著作權保護.

    TAIR相關文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回饋