Enhanced weighted PageRank algorithm based on contents and link visits
Radheshyam Prajapati, Suresh Kumar V · International Conference on Computing for Sustainable Global Development · 2016
The digital information on World Wide Web is stored in billions of web pages. These web pages are distributed globally and are accessed using internet. A lot of processing is required by the search engine to retrieve any specific information from the web. The search engine returns several related pages against the user request. These pages are then ordered by a ranking algorithm working in the background. The order is defined based on their importance and relevance with query text. These ranking algorithms are based on number of links, or contents on the web page or count of link visits. In this paper a modified ranking mechanism considering both the contents as well as visits of links is proposed. The paper also presents the comparison of various page rank methods with the proposed method.