A Novel Page Ranking Method based on Link- Visits of Web Pages

Sharma, A. K .; Duhan, Neelam; Kumar, Gyanendra
November 2010
International Journal on Recent Trends in Engineering & Technolo;Nov2010, Vol. 4 Issue 1, p58
Academic Journal
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 PRLV (Page Ranking based on Link Visits) 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. The paper also presents a method to find link-visit counts of Web pages and a comparison between PRLV with the PageRank algorithm.


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