World Wide Web (WWW) serves as a platform for retrieving a variety of information. This high volume of information leads to the information overload on the Internet. When a query is made, most search engines return same results to all users without considering the context of the user’s requests. For example, ‘virus’ in the context of one user can be malicious software, but for a biologist, it is a microorganism. This gives rise to the need for personalized web search. It is one of the growing concepts in web technologies. It is all about giving the right content to the right person at the right time. With the use of the user’s browsing history, we can personalize the results and improve the user’s visit experience. Through this paper, we emphasize on techniques to rank the pages in the order of relevance to the context of the user to achieve better results.