Volume 7 Issue 2 - July 2016

  • 1. Augmented page ranking algorithm

    Authors : Rekha Singhal, Saurabh Ranjan Srivastava

    Pages : 513-519

    DOI : http://dx.doi.org/10.21172/1.72.579

    Keywords : World Wide Webpage rank, inlinkoutlinkweighted page rankHITS algorithm

    Abstract :

    As the world wide web has millions of web pages and consists a large collection of information available online and a plenty web pages which are recently added and removed due to the dynamic nature of web. Due to this huge collection, user faces difficulties to find correct and useful information. Search engine helps to retrieve the results from this huge collection. When user puts a query to search engine, it provides a number of results in the form of a list of relevant web pages. But the ranking of these web pages should be proper. If improper ranking of web pages will be there then user will have to explore whole list to discover the appropriate web page(s). Although many ranking algorithms like HITS algorithm, Page Ranking algorithm, Weighted Page Rank algorithm and their extension are developed to achieve accurate results, but none of these ranking algorithms provide a page ranking with high accuracy. In this paper, an Augmented Page Rank algorithm (APR), an extension to standard Page Rank algorithm is introduced. APR depends upon the web structure. IPR takes the importance of inlinks and outlinks and distribute the page ranking on the basis of the page ranking of all the web pages which are linked to it.

    Citing this Journal Article :

    Rekha Singhal, Saurabh Ranjan Srivastava, "Augmented page ranking algorithm ", https://www.ijltet.org/journal_details.php?id=906&j_id=3285, Volume 7 Issue 2 - July 2016, 513-519, #ijltetorg