Optimal methods of PageRank algorithm on the bilingual web page

PageRank algorithm is a very popular and effective algorithm to rank web pages based on the link information among a set of web pages. The bilingual translate search engine is a kind of search engine which integrated the functions of bilingual translation. To make the original PageRank algorithm adapt to bilingual translate search engine, some changes must be make on the algorithm. The speediness and the veracity to get the exact web page are the most important points in the research of the bilingual translate search engine. This paper proposes some optimized methods on the PageRank algorithm, such as spare matrix reorganization and so on. Experiment shows that those methods can improve the performance of the PageRank algorithm on bilingual translate search engine.