User Preference Based Page Ranking Algorithm

World Wide Web has become the major source of information dissemination. Due to its vast expansion and heterogeneity, users faces difficulty in finding relevant results quickly. Ranking is an important application of web mining which is based on the structure, content and usage. Many algorithms exist for web page ranking and these algorithms are based upon one or more parameters such as forward links, backward links, contents and user interaction time. The efficiency of an algorithm may be based upon the parameters that are applied to determine the ranking of the page. In this paper some important page ranking algorithms are discussed and a new page ranking algorithm is proposed named as User Preference Based Page Ranking. The proposed algorithm is efficient in terms of relevancy because it uses agents to determine pages content relevancy and user behavior is also considered while ranking the web pages. Hence User Preference Based Page Ranking make users search result navigation easier and more satisfactory to find the desired information.