基于超链接和相关度策略的克隆Web搜索方法

Clonal Web Search Algorithm Based on Hyperlink and Relevance Strategy

针对如何快速有效地搜索用户所需要的Web资源问题,在介绍HITS算法的基础上,分析其产生主题漂移的原因,并结合内容相关度策略,提出一种新的CSHITS搜索算法,该算法通过克隆、变异和交叉操作获取具有相关度高的Web页面。实验结果表明,CSHITS算法挖掘了超链接间的潜在语义关系,能有效地引导主题挖掘。

In order to quickly and efficiently search for users of Web resources required,a new CSHITS Web search algorithm is put forward based on content relevance strategy,and the cause of topic drift in HITS algorithm is analyzed. CSHITS algorithm evolves a population of Web pages for maximizing the relevance by clonal,mutation and crossover operator. From the analysis and experimental result,it can be concluded that this method focuses on mining the potential semantic relationship between hyperlinks and performs quite well in the topic-specific crawlin.