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An Enhanced Page Ranking Algorithm Based on Weights and Third level Ranking of the Webpages

机译:一种基于权重和网页三级排序的增强页面排序算法

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Web is the large collection of changeable documents which are changing every second by means of deletion and insertion of webpages and websites. Data retrieved with respect to the user query should be fresh and most relevant according to the query, relevancy means most matching or meaningful for the user or surfer. When a user searches a specific topic or say query by using search engine lakhs of pages, documents are being retrieved on the basis of different searching technic of the search engine and crawler, hence that lakhs of documents retrieved are to be numbered or indexed in such a way that the most relevant or meaningful webpage, document should be at the top in the list. In this paper few of page ranking algorithm are being discussed and are also compared which one another and a new page ranking algorithm is also proposed “An Enhanced Page Ranking Algorithm Based on Weights and Third level Ranking of the Webpages”. The proposed algorithm ranks the webpages by comprising the third level importance of pages linked with the retrieved webpage and hence due to the third level importance matching of the webpages the relevancy of the ranking algorithm is more then that discussed in literature.
机译:Web是大量可变文档的集合,这些可变文档通过删除和插入网页和网站而每秒更改一次。相对于用户查询检索的数据应是最新的,并且根据查询最相关,相关性意味着对用户或冲浪者而言最匹配或最有意义。当用户通过使用搜索引擎的大量页面来搜索特定主题或说出查询时,正在根据搜索引擎和搜寻器的不同搜索技术来检索文档,因此,要在其中检索或检索的文档数量会被编号或索引最相关或最有意义的网页文档应位于列表顶部的一种方式。本文仅对页面排名算法进行了讨论,并进行了比较,并提出了一种新的页面排名算法“基于权重和网页三级排名的增强页面排名算法”。所提出的算法通过包括与检索到的网页链接的页面的第三级重要性来对网页进行排名,因此,由于网页的第三级重要性匹配,因此排名算法的相关性比文献中讨论的更多。

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