关键词: PageRank算法, 链接结构, 网页内容, 链入链出权重因子, 用户反馈因子, 主题相关因子, 时间因子

Abstract: Aiming at the PageRank algorithm ranking only taking the inlinks into account, not considering Web content analysis, leads to problems of average distribution of Webpage PR, topic drift, emphasis old pages, and uniqueness optimization in the existing improved algorithm, this paper proposes an improved PageRank algorithm based on link and Web content. The algorithm makes the search results more close to user needs, taking the correlation and precision of search content into account, by adding inlinks and outlinks weighted factor, user feedback factor, topic relevance factor and time factor, jointly to improve the existing problems of PageRank algorithm. The experimental results show that, the proposed algorithm in the content relevance and precision, has a great improvement compared with other Webpage ranking algorithm,achieves the purpose of optimizing the PageRank algorithm.

Key words: PageRank algorithm, link structure, Web content, inlinks and outlinks weighted factor, user feedback factor, topic relevance factor, time factor