Utilizing Hyperlink Transitivity to Improve Web Page Clustering

11 years 6 months ago
Utilizing Hyperlink Transitivity to Improve Web Page Clustering
The rapid increase of web complexity and size makes web searched results far from satisfaction in many cases due to a huge amount of information returned by search engines. How to find intrinsic relationships among the web pages at a higher level to implement efficient web searched information management and retrieval is becoming a challenge problem. In this paper, we propose an approach to measure web page similarity. This approach takes hyperlink transitivity and page importance into consideration. From this new similarity measurement, an effective hierarchical web page clustering algorithm is proposed. The primary evaluations show the effectiveness of the new similarity measurement and the improvement of web page clustering. The proposed page similarity, as well as the matrix-based hyperlink analysis methods, could be applied to other web-based research areas. .
Jingyu Hou, Yanchun Zhang
Added 06 Jul 2010
Updated 06 Jul 2010
Type Conference
Year 2003
Where ADC
Authors Jingyu Hou, Yanchun Zhang
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