As web is the largest collection of information and plenty of pages or documents are newly added and deleted on frequent basis due to the dynamic nature of the web. The information present on the web is of great need, the world is full of questions and the web is serving as the major source of gaining information about specific query made by the user. Search engines generally return a large number of pages in response to user queries. To assist the users to navigate in the result list, ranking methods are applied on the search results. Most of the ranking algorithms proposed in the literature are either link or content oriented, which do not consider user usage trends. In this paper, a page ranking mechanism called Page Ranking based on Visits of Links is being devised for search engines, which works on the basic ranking algorithm of Google i.e. PageRank and takes number of visits of inbound links of Web pages into account. This concept is very useful to display most valuable pages on the top of the result list on the basis of user browsing behavior, which reduces the search space to a large scale.
Keywords
Information Retrieval, PageRank, Search Engine, Web Mining, World Wide Web.
