PageRank在微博内容搜索中的应用

Application of PageRank in Search for Microblog Content

提出了将微博用户发言与单词间的链接构成一个二部图,然后将其转换成加权的用户发言网络结构图,并采用PageRank的排名方式,提取其中的重要内容。实验结果表明,该方法可以明显增强微博内容搜索的准确性。

Important content of microblog is extracted by way of constructing a bipartite graph through the link of posts and words, and transforming the bipartite graph into a weighted post network, and ranking these posts according to the PageRank algorithm. Experiments show that thc method can improve the accuracy of scarching of microblog contcnta lot.