Associated Pagerank: A Content Relevance Weighted Pagerank Algorithm

Pagerank algorithm is a link analysis approach to evaluate the importance of web pages, and there are many techniques to improve the traditional Pagerank algorithm to prevent from the biases of link spamming in recent years. A key challenge for link analysis is to identify the relevance between the original page and the linked page. The importance scores of web pages should rely on the quality of links rather than the quantity of links, and the quality of links depends on the page relevance. This paper proposes an associated Pagerank algorithm for search engines to feedback quality results by scoring the relevance between web pages. Associated Pagerank is a content relevance weighted Pagerank algorithm using relevance scores to adjust the distribution of Pagerank values.