Advanced Weighted Page Rank Algorithm (WPR) with Semantics, Visit of Links (VOL) and Google Analytic

The World Wide Web consists billions of web pages and huge 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.

We have used semantics page ranking to rank pages according to the word searched and match it with the metadata of the website and provide a value of rank according to the highest priority.

We have also used Google analytics to store the number of hits of a website in a particular variable and add the required percentage amount to the ranking procedure. 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 behaviour, which reduce the search space to a large scale. The paper also presents the comparison between original and VOL method.