| 用自适应蚁群算法求解集中网站的WEB搜索优化策略 |
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| 引用本文： | 马力.用自适应蚁群算法求解集中网站的WEB搜索优化策略[J].沈阳航空工业学院学报,2010,27(2):64-68. |
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| 作者姓名： | 马力 |
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| 作者单位： | 沈阳职业技术学院软件学院,辽宁,沈阳,110045 |
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| 摘 要： | 如何提高web信息搜索的效率,改善搜索的性能,是信息检索领域一个重要的研究课题。首先利用自适应蚁群算法求得针对特定类别的最小集中网站集,再通过网页聚类,找到能获得最完全而准确信息的网页序列,从而提高web搜索的速度和准确率。
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| 关 键 词： | web信息搜索 集中网站 自适应蚁群算法 聚类 相似度 |
A web information retrieval optimization approach based on adaptive ant-colony algorithm of hub sites |
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| MA Li.A web information retrieval optimization approach based on adaptive ant-colony algorithm of hub sites[J].Journal of Shenyang Institute of Aeronautical Engineering,2010,27(2):64-68. |
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| Authors: | MA Li |
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| Institution: | MA Li(Software Department,Shenyang Vocational College,Liaoning Shenyang 110045) |
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| Abstract: | How to rapidly and effectively retrieve needed information from vast number of web pages brings a new problem to the rapid development of Internet.In this paper,we propose a valid approach to find hub sites using hill-climbing algorithms.This paper focused on improving the effectiveness and efficiency of web searching,using a fuzzy clustering algorithm based on web pages ＇contents and link analysis to help finding relevant web information more easily and precisely. |
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| Keywords: | web information retrieval hub sites adaptive ant-colony algorithm clustering similarity |
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