Personalized meta-search engine model research

doi:10.3778/j.issn.1002-8331.2008.36.042

Computer Engineering and Applications ›› 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 • Previous Articles Next Articles

Personalized meta-search engine model research

MENG Xing,DING Zhen-guo

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

个性化元搜索引擎模型研究

孟星,丁振国

西安电子科技大学计算机学院，西安 710071

通讯作者: 孟星

Abstract

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

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

MENG Xing,DING Zhen-guo. Personalized meta-search engine model research[J]. Computer Engineering and Applications, 2008, 44(36): 150-152.

孟星,丁振国. 个性化元搜索引擎模型研究[J]. 计算机工程与应用, 2008, 44(36): 150-152.

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Personalized meta-search engine model research

个性化元搜索引擎模型研究

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