基于相似度的快速网页排序算法

将经典的PageRank算法和汉明距离相似度算法结合,提出一种新的网页排序方法。通过结合汉明距离(Hamming distance)相似度算法,计算检索词和网页文本相似度,提高搜索查准率;在增加检索词的同义词的搜索过程中,通过改进汉明距离相似度算法,提高搜索查全率。实验结果表明,该方法与PageRank算法相比,拥有了更好的效果。

A Quickly Webpage ranking Algorithm Based on Similarity

A new page ranking algorithm is proposed by combining the classic PageRank algorithm and Hamming distance similarity algorithm. The algorithm by combining the Hamming distance similarity algorithm to calculate the similarity of the search term and the web page text to improve precision. In the search process of increasing the synonyms of the search term, improved Hamming distance similarity algorithm to improve search recall. Experimental results show that the method is better compared with the PageRank algorithm.