Improved inequality transfer weight PageRank algorithm
Zhu Jun-ping · Jisuanji gongcheng yu sheji · 2010
To improve the accuracy of the paper analyses,by analyzing traditional PageRank algorithm,an improved PageRank algorithm—inequality transfer weight PageRank algorithm is proposed,which is based on the analysis of deep 2 degrees of links among pages and relevance among topics,in consideration of traditional PageRank algorithm transfer weight equally.The algorithm meets the relevance and authority requirements well of the search engine for the ranking result,which makes the rank of the search result fits all kinds of need.And it also provides new room for extending the algorithm of PangRank.Proved by experiment,better accuracy can be retrieved by the influence of weight factor and deep 2 degree of link.