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基于主题相关性和链接权重的PageRank算法
Novel PageRank algorithm based on topic and link weighted
【摘要】 在基于链接分析的排序算法PageRank分析基础上,提出了一种基于主题相关性和链接权重的Page-Rank改进算法.该方法首先随机选取任一链出页面,通过主题相关性评价算法获得改进的PageRank值,并重新排序.实验结果显示该算法提高了查询速度、查询准确率,并且算法具有良好的稳定性和可扩展性.
【Abstract】 Based on the analysis of PageRank algorithm and link weighted,a topic weighted PageRank algorithm was porposed.Firstly,any chain randomly selected a page,then,the improved PageRank value was obtained through the topic relevance evaluation algorithm.The experiment shows that this algorithm improves the query speed and accuracy with good stability and expandability.
【关键词】 万维网;
Web信息搜索;
主题权重;
PageRank算法;
链接权重;
排序;
【Key words】 World Wide Web; Web search; topic weighted; PageRank algorithm; link weighted; sorting;
【Key words】 World Wide Web; Web search; topic weighted; PageRank algorithm; link weighted; sorting;
【基金】 湖南省科技计划课题资助项目(2011FJ3022);湖南省教育厅优秀青年资助项目(12B023)
- 【文献出处】 华中科技大学学报(自然科学版) ,Journal of Huazhong University of Science and Technology(Natural Science Edition) , 编辑部邮箱 ,2012年S1期
- 【分类号】TP301.6
- 【被引频次】19
- 【下载频次】380