Position & Text Ranking Algorithm Based On Sample Weighted
Mei Chen · Journal of Guizhou University · 2010
To solve the result ranking of Meta Search Engine problem effectively,a text position sorting algorithm based on sample weighted was proposed.The fundamental algorithms were analyzed,full accounting the structural information was fully taken into consideration and the PageRank value was converted into weight.Combined with text information and its position in the result list,the adjustment of the local similarity was achieved,and the relevant score of position was standardized.The abstract sorting algorithm was improved,and a definition of query-match and queries relevancy was presented.The relevant scores were merged as final score at last.The experimental results show that this algorithm is feasible and efficient.