Search results optimization based on Web clustering algorithm
Huang Rong-you · Journal of Computer Applications · 2010
The search results got by current search engines generally include a large number of duplicate Web pages.A search results optimization algorithm based on DBSCAN clustering algorithm was proposed.The algorithm selected top-ranking Web pages of source search results,and clustered them to remove as much redundant pages as possible according to page similarity to achieve optimal search results.Experimental results show that the algorithm can improve the comprehensiveness and accuracy of search results and improve user satisfaction with search engines.