Advanced Page Rank Algorithm with Semantics, In Links, Out Links and Google Analytics

TL;DR

This paper proposes an enhanced Page Rank algorithm that incorporates semantics, inlinks, outlinks, and Google Analytics data to improve the relevance and ranking of search results based on user queries and browsing behavior.

Contribution

It introduces a novel Page Rank modification that integrates semantic analysis and user analytics to prioritize more relevant web pages.

Findings

Improved ranking accuracy for search queries.

More relevant pages displayed at the top of search results.

Reduced search space by focusing on valuable pages.

Abstract

In this paper we have modified the existing page ranking mechanism as an advanced Page Rank Algorithm based on Semantics Inlinks Outlinks and Google Analytics. 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 proposed algorithm is used to find more relevant information according to users 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.