A Comparative Study of Navigation Techniques and Information Retrieval Algorithms for Web Mining
L. Lakshmi · International Journal of Advanced Trends in Computer Science and Engineering · 2019
Search queries on databases, such as Cloud Bigtable(Cloud Bigtable) is a openly accessible form of Bigtable used by Google system) frequently give back countless, just a little subset of which is significant to the client.Ranking and categorization, which can likewise be consolidated, have been proposed to reduce this data over-burden issue.Results order and most applicable data recovery for a given hunt question is the focus of this work.A natural way to organize citations is according to their concept hierarchies.In this framework, we present a dynamic navigation of queries used with Improved Distance Rank Algorithm.The dynamic navigation provides less query results compared with static navigation used by Google.Distance Rank algorithm depends on fortification learning with the distance between pages as punishment and it minimizes the distance values of pages and provides better results compared to the familiar Page Rank algorithm.This algorithm models a real user surfing the web.When users randomly browses the web, they selects the next pages based their background from the last pages and the current status of the web page.By combining these two algorithms we will provide more efficient results to the given search query.