Modified Weighted PageRank Algorithm using Time Spent on Links

摘要

With dynamic growth and increasing data on the web, it is very difficult to find relevant information for a user. Large numbers of pages are returned by search engine in response of users query. The ranking algorithms have been developed to prioritize the search results so that more relevant pages are displayed at the top. Various ranking algorithms based on web structure mining and web usage mining such as PageRank, Weighted PageRank, PageRank with VOL and Weighted PageRank with VOL have been developed but they are not able to endure with the time spent by user on a particular web page. If user is conferring more time on a web page that signifies the page is more relevant to user. The proposed algorithm consolidates time spent with the Weighted PageRank using Visit of Links.