SHITS:a WebPage Ranking Method Based on Hyperlink and Content
This paper reviews currently dominating webpage ranking algorithms,improves the ARC algorithm among of them,and proposes an algorithm based on hyperlink and content—the SHITS(Similarity-HITS)algorithm.The SHITS algorithm uses the webpage content cited by the hyperlinks to evaluate the importance of these hyperlinks instead of the anchors used in the ARC algorithm,which not only improves the ability to differentiate the importance of hyperlinks,but also needn't analyze the content of the numerous anchors in web pages.From the contrastive experiment with the related algorithms, the result shows that the precision of the SHITS algorithm was significantly higher than that of other algorithms. Furthermore, the SHITS algorithm has a good performance:its computational cost is smaller than that of the ARC algorithm, and approximate to that of the HITS algorithm.