A fast and efficient page ranking mechanism for web crawling and retrieval remains as a challenging issue. Recently, several link based ranking algorithms like PageRank, HITS and OPIC have been proposed. In this paper, we propose a novel recursive method based on reinforcement learning which considers distance between pages as punishment, called ‘‘DistanceRank’’ to compute ranks of web pages. T...

Security, Efficiency and User Interest Analysis Approach for Web Page Ranking 1 Pooja, 2 Hitesh Kapoor, 3 Amit Raman 1 Student M.Tech. (CSE), 2 Asstt. Prof., CSE Deptt., 3 Asstt. Prof., Mech. Deptt. RPIIT, Technical Campus, Bastara, Karnal __________________________________________________________________________________________ Abstract: An Effective Web Search is one of the major part of Web ...

Web pages are highly dynamic and it’s difficult to retrieve the relevant web pages in top 10 search results. This is based on some ranking mechanism incorporated retrieval system. The Retrieval system is designed for ranking the relevant web pages for user query. Usually, the retrieval system considers many techniques for ranking such as link based, connectivity based and keyword based techniqu...

The current generation of WWW search engines reportedly makes extensive use of evidence derived from the structure of the WWW to better match relevant documents and identify potentially authoritative pages. However, despite this reported use, there has been little analysis which supports the inclusion of web evidence in document ranking, or which examines precisely what its effect on search res...

Customers of e-commerce web sites frequently use the full text search to find the desired products. The ranking of the search result page depends on various criteria such as the matching of search terms or popularity of the product. E-commerce vendors usually use additional ranking criteria and may want to increase conversion rates by varying the rankings of the search hits. This paper proposes...

In the last years, several techniques based in link analysis have been proposed and used in search engines to rank Web pages. As links are generated by humans, link based ranking seems to give better results than traditional techniques such as vector based ranking. However, no studies have been done about their real impact. In this paper we extend global page ranking techniques to Web site rank...