Research on Web Based Information Importance Ranking Algorithm for Marine Big Data

Abstract

Research on web based information of the marine big data, has always been a vital part of marine big data information platform. However, it is difficult to find the web information of marine big data, for its massive amount and overbroad extent. Faced with this issue, it is not enough to use the PageRank algorithm alone. Based on the basic characteristics of marine big data pages, we use the PageRank algorithm for reference, and improves its relevance, authority and anti-cheating in this paper. Finally, we purpose a Web based information importance ranking algorithm for marine big data, the Marine Information PageRank (MIPR) algorithm. Experimental results on data sets of marine big data web pages show that, the Marine Information PageRank (MIPR) algorithm has a much better performance of web based information importance ranking algorithm for marine big data, than the PageRank algorithm.