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In this blooming age of information technology the web developers always intend to provide a vast information space to the Internet surfers. On the other side, the users always want to reach the desired information by least effort. As a result, the increasing volume of information in each website also enlarges the searching domain for the user. In many cases, the user fails to spot his desired information at a quick outlook and then frequently switches to other similar websites. Some approaches like Sitemap, Footprints etc. give an overview of the site contents but often fail to guide the user to his destined information. This paper proposes a new approach named Pagemap, which can guide a user to the most popular and relevant pages of that website based on user's current location within that domain. With the assistance of the access log file, Pagemap uses the previous browsing history to find the most popular pages in a website. Pagemap uses the vector space model to find out the pages with maximum matching in compare to the current page of the user. Usability analysis method is used to justify the efficiency of Pagemap which shows it's the usefulness of this approach. |
