计算机工程与应用 ›› 2008, Vol. 44 ›› Issue (36): 150-152.DOI: 10.3778/j.issn.1002-8331.2008.36.042

• 数据库、信号与信息处理 • 上一篇    下一篇

个性化元搜索引擎模型研究

孟 星,丁振国   

  1. 西安电子科技大学 计算机学院,西安 710071
  • 收稿日期:2008-06-03 修回日期:2008-09-01 出版日期:2008-12-21 发布日期:2008-12-21
  • 通讯作者: 孟 星

Personalized meta-search engine model research

MENG Xing,DING Zhen-guo   

  1. College of Computer Science,Xidian University,Xi’an 710071,China
  • Received:2008-06-03 Revised:2008-09-01 Online:2008-12-21 Published:2008-12-21
  • Contact: MENG Xing

摘要: 在分析了传统搜索引擎以及现有元搜索引擎不足之后,提出了基于Agent的个性化元搜索引擎模型,与传统的元搜索引擎系统相比改进了系统的运行效率,同时给出了基于用户反馈的个性化QR-加权重排序算法,将检索结果的排序质量以及文档的相关度在重排序中加以考虑,与传统的线性重排序算法相比提高了查询的准确程度。

关键词: Agent, 个性化, 元搜索, 用户反馈

Abstract: Based on the analysis of the deficiency of traditional search engine and meta-search engine,the paper puts forward the personalized meta-search engine model based on Agent to improve the efficiency of the system compared with traditional meta-search engine,and presents the personalized QR-re-sort algorithm based on user feedback,considering the quality of search results and relavancy of documents,that improves the accuracy of the query compared with traditional linear-re-sort algorithm.

Key words: Agent, personality, meta-search, user-feedback