基于Tf-Idf和网页链接的PageRank改进算法

IMPROVED PAGERANK ALGORITHM BASED ON TF-IDF AND WEBPAGE LINK

提出基于Tf-Idf和网页链接对传统的PageRank算法不足之处进行改进。该算法不仅较好地解决了PageRank主题漂移问题,而且在查准率和查全率方面也有较大的提高。通过实验证明,该算法可以获得优于传统PageRank算法的查询结果集。

This paper proposes to improve the inadequacy of traditional PageRank algorithm based on Tf-Idf and Webpage link.This improved algorithm solves the theme drift problem of PageRank,and also makes quite big progress in precision and recall.Through experiment we prove that the improved algorithm can acquire better query result set than the traditional PageRank algorithm.