首页    期刊浏览 2024年09月16日 星期一
登录注册

文章基本信息

  • 标题:New Algorithm for Improving the Accuracy of Search Engine Depending on Semi-Structure
  • 本地全文:下载
  • 作者:Yazed Alsaawy
  • 期刊名称:International Journal of Computer Science and Network Security
  • 印刷版ISSN:1738-7906
  • 出版年度:2019
  • 卷号:19
  • 期号:5
  • 页码:139-146
  • 出版社:International Journal of Computer Science and Network Security
  • 摘要:Web Search engines are the most important and effective tools for Internet users, and the issues of search algorithms are still interest to many researchers. One of the most important sections for the development of current search engines is to work on parts of document instead of the whole document. XML Information Retrieval XML-IR is one of the techniques used on semi-structured XML files to improve search precision, due to ease of work with large documents, and also enable a new style of advanced search within a specific part of the document. This research provides an Integrated based indexing approach to improve the indexing system in search engines to avoid the disadvantages of previous methods and to achieve additional performance and accuracy features. In addition, it provides an advanced version of the traditional VSM (Vector Space Model) retrieval algorithm and finally a new way to search within a specific website. The stage of achieving and testing the proposed system confirmed its superiority in terms of accuracy of results compared to other methods of indexing and search.
  • 关键词:Information Retrieval; XML; Cos Similarity; XPATH; VSM
国家哲学社会科学文献中心版权所有