计算机工程 ›› 2009, Vol. 35 ›› Issue (21): 192-194.doi: 10.3969/j.issn.1000-3428.2009.21.064

• 人工智能及识别技术 • 上一篇    下一篇

基于遗传算法的专业元搜索引擎

赵大明1,鱼 滨2   

  1. (1. 西北大学信息科学与技术学院,西安 710127;2. 西安电子科技大学计算机学院,西安 710071)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-11-05 发布日期:2009-11-05

Professional Meta-search Engine Based on Genetic Algorithm

ZHAO Da-ming1, YU Bin2   

  1. (1. College of Information Science and Technology, Northwest University, Xi’an 710127; 2. College of Computer, Xidian University, Xi’an 710071)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-11-05 Published:2009-11-05

摘要: 元搜索引擎返回的查询结果来自独立搜索引擎,要评价此类结果的专业相关性,必须挖掘其位置信息以外的其他信息。研究并实现面向培训领域的元搜索引擎,在充分挖掘网页文本信息的基础上,提取专业网页样本特征,结合遗传算法给出网页专业相关度算法。实验结果表明,该引擎具有较高的专业信息筛选和排序能力。

关键词: 元搜索引擎, 专业搜索引擎, 遗传算法, 相关度模型

Abstract: The query result returned by meta-search engine is from the independent search engine. To evaluate the professional relevance of these results, it must exploit more information than the location information. This paper studies and realizes a training field oriented meta-search engine. It fully mines the file information of Web page, extracts swatch characteristics of professional Web page and gives professional relevance degree algorithm for Web page. Experimental results show that this engine has high ability of professional information filtration and taxis.

Key words: meta-search engine, professional search engine, Genetic Algorithm(GA), relevance degree model

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