CLIENT BASED HUERISTIC APPROACH OF WEB PAGE RANKING

Abstract

Internet has become the most major and important network which connects millions and even billions of people all around the world. It s the cheapest, fastest and easiest way of communication. This network of networks, Internet provides many services like e-mail, messaging, video conferencing, online banking, social networking, online shopping, weather forecasting and many more. A large amount of information is available on the web of interconnected devices. Due to fast speed and cheap rates of internet, it becomes the integrated part of the modern human life that connects people all around the world. Now days, billion of web sites are running on numerous servers containing the huge amount of data and information .To retrieve the relevant information from WWW, search engines, like Google, Yahoo, Ontolook, Swoogle etc, are used in the modern life. On the basis of the query placed by user, the search engines fetch the links of web pages and display it to the user in a specific order called ranking that is decided with the help of ranking algorithms like keyword search or semantic search. But none of the algorithm considers the preference of the user. So, it displays the same order of the web pages to user for a specific keyword or query every time. As a result the user preferred pages are ranked down by the search engine. To solve this problem, we purposed a client based heuristic approach that makes the web pages ranking dynamic and user oriented without creating the burden on server end. newline