Search engines today are retrieving more than a few thousand web pages for a single query, most of which are irrelevant. Listing results according to user needs is, therefore, a very real necessity. The challenge lies in ordering retrieved pages and presenting them to users in line with their interests. Search engines, therefore, utilize page rank algorithms to analyze and re-rank search results according to the relevance of the user’s query by estimating (over the web) the importance of a web page. The proposed work investigates web page ranking methods and recently-developed improvements in web page ranking. Further, a new content-based web page rank technique is also proposed for implementation. The proposed technique finds out how important a particular web page is by evaluating the data a user has clicked on, as well as the contents available on these web pages. The results demonstrate the effectiveness of the proposed page ranking technique and its efficiency.