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Computer Engineering ›› 2010, Vol. 36 ›› Issue (19): 203-204,207. doi: 10.3969/j.issn.1000-3428.2010.19.071

• Networks and Communications • Previous Articles     Next Articles

Professional Meta Search Engine Results Ranking Algorithm Based on Genetic Algorithm

KONG De-yong, ZHANG Jian-jun   

  1. (Institute of Information Science and Technology, Northwest University, Xi’an 710127, China)
  • Online:2010-10-05 Published:2010-09-27

基于GA的专业元搜索引擎结果排序算法

孔德镛,张建军   

  1. (西北大学信息科学与技术学院,西安 710127)
  • 作者简介:孔德镛(1982-),男,硕士研究生,主研方向:语义网,人工智能;张建军,副教授

Abstract: Aiming at the problems of meta search engine such as precision, this paper analyzes professional search engine returns results professional correlation in-depth exploration of a given Web page based on genetic algorithm sorting algorithm. In mining to return to the results of independent search engine, in addition to location information of the other information based on the use of genetic algorithm to build a professional Web site correlation model for Web pages related to the degree of professional computing. The algorithm discusses the implementation of the principle and provides programs to improve the algorithm. Experimental results show that the algorithm is effective.

Key words: search engine, professional meta search engine, genetic algorithm

摘要: 针对元搜索引擎的查准率等问题,分析专业元搜索引擎返回结果的专业相关度问题,提出一种基于遗传算法的网页排序算法,讨论算法的原理及实现过程。在独立搜索引擎返回结果中,挖掘除位置信息以外的其他信息,利用遗传算法建立专业网页相关度模型,对网页的专业相关度进行计算。实验结果表明该算法效果较好。

关键词: 搜索引擎, 专业元搜索引擎, 遗传算法

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