Weighted Page Rank Algorithm Based on Number of Visits of Links of Web Page
Neelam Tyagi1, Simple Sharma2

1Neelam Tyagi, Computer Science & Engineering, Manav Rachna International University, Ballabgarh, India
2Simple Sharma, Asst. Prof.,Computer Science & Engineering, Manav Rachna International University, Faridabad, India

Manuscript received on July 01, 2012. | Revised Manuscript received on July 04, 2012. | Manuscript published on July 05, 2012. | PP: 441-446 | Volume-2, Issue-3, July 2012. | Retrieval Number: C0796062312 /2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The World Wide Web consists billions of web pages and hugs amount of information available within web pages. To retrieve required information from World Wide Web, search engines perform number of tasks based on their respective architecture. When a user refers a query to the search engine, it generally returns a large number of pages in response to user’s query. To support the users to navigate in the result list, various ranking methods are applied on the search results. Most of the ranking algorithms which are given in the literature are either link or content oriented. Which do not consider user usage trends. In this paper, a page ranking mechanism called Weighted PageRank Algorithm based on Visits of Links (VOL) is being devised for search engines, which works on the basis of weighted pagerank algorithm and takes number of visits of inbound links of web pages into account. The original Weighted PageRank algorithm (WPR) is an extension to the standard PageRank algorithm. WPR takes into account the importance of both the inlinks and outlinks of the pages and distributes rank scores based on the popularity of the pages. The proposed algorithm is used to find more relevant information according to user’s query. So, this concept is very useful to display most valuable pages on the top of the result list on the basis of user browsing behavior, which reduce the search space to a large scale. The paper also presents the comparison between original and VOL method.

Keywords: World Wide Web, Search Engine, PageRank, Inbound Link, Outbound Link