In this paper we have modified the existing page ranking mechanism as an advanced Page Rank Algorithm based on Semantics Inlinks Outlinks and Google Analytics. We have used Semantics page ranking to rank pages according to the word searched and match it with the metadata of the website and provide a value of rank according to the highest priority.We have also used Google analytics to store the number of hits of a website in a particular variable and add the required percentage amount to the ranking procedure.The proposed algorithm is used to find more relevant information according to users query.So this concept is very useful to display most valuable pages on the top of the result list on the basis of user browsing behaviour which reduce the search space to a large scale.
翻译：在本文中,我们根据语义链接外链接和谷歌分析学,将现有的页面排名机制修改为高级分级机制。我们使用语义页面根据搜索单词和网站元数据排行排行排行,并提供最高优先级别值。我们还使用谷歌分析法存储特定变量网站点击次数,并将所需百分数添加到排名程序。拟议算法用于根据用户查询找到更相关的信息。因此,这一概念非常有用,可以根据用户浏览行为将搜索空间缩小到大范围,在结果列表上方显示最有价值的页面。
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