基于HITS与MASEL算法的融合算法

A fusion algorithm based on HITS algorithm and MASEL algorithm

H ITS算法和M A SEL算法分别实现针对用户的查询进行W EB结构挖掘和W EB使用挖掘,从而提供给用户查询所得信息。为了针对用户的某一查询搜索出更符合用户需求的信息,提出了一种新的挖掘算法。该算法是对H ITS算法和M A SEL算法的融合应用和改进,可以解决在H ITS算法中所产生的主题偏移问题以及M A SEL算法中不能很好的查找出中枢网页和权威网页的问题。模拟实验结果表明:针对某一查询,基于H ITS和M A SEL算法的融合算法具有更高的准确率,查询的结果路径更接近用户的经验兴趣路径。

In order to search better resources, a new mining algorithm is introduced in this paper, which integrates HITS algorithm with MASEL algorithm. This method makes HITS and MASEL algorithms complement each other, It can also solve the problem of topic drift in HITS algorithm as well as the problem that MASEL algorithm can＇t efficiently find hubs and authorities WebPages. The results of simulation studies show that the fusion method performs better than the HITS and MASEL algorithms in terms of returning large number of relevant pages to a given query.