An improved Pagerank algorithm based on time feedback and topic similarity

摘要

This paper describes the classical algorithm PageRank, analyzes its existing problems and puts forward improvement of these problems. In the original algorithm, the link similarity and perception of time are added.. Finally an improved PageRank algorithm based on time feedback and topic similarity is proposed. We compared traditional PgageRank algorithm with improved PageRank algorithm by doing some experiments and analyzed them. Experimental results show that the improved PageRank algorithm can improve the search results.