Research and optimization of HITS based on theory of diffusion in Web mining
基于扩散理论的HITS算法在Web挖掘中的研究与优化*

Traditional HITS simply analyzes the link structure of Webs while ignores the research of Web content and Web reference amplification,which results in topic deviation phenomenon.This paper in terms of the above issues to come up with a novel optimization of HITS based on the theory of diffusion.This method on the basis of priority complex and growth theorems to combine hyperlink information retrieval and Web content analysis together to improve the search accuracy of HITS.Experimental results show that compared with SALSA and the traditional HITS,the improved HITS is able to effectively restrain the topic deviation,increases the search accuracy with high practical value.