Personal search engine based on user interests and modified page rank

With the tremendous growth of the web and the contents difference, users need specialized accurate results depending on their behavior and varying according to their interest. In this paper, we introduce A Personal Search Engine which provides results relevant to the user's interest. Our search engine depends on three factors to ensure relevant and accurate results. The first factor is the degree of importance of the document category to the user. The second factor is the user's interest page rank which depends on the user's browsing of the page. The third factor is the degree of relevance of the document.