Ranking Algorithms For Web Mining – A Detailed Guide

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The size of the world wide web is growing rapidly and at the same time, the number of queries that are handled has also grown incredibly. With the increasing number of users on the web, the number of queries submitted to the search engines is also growing exponentially. Therefore, search engines must be able to process these queries efficiently. Thus, the web mining techniques are applied in order to extract only relevant documents from the database and provide intended information to the users. The goal of information retrieval is to find the documents that are relevant for a user query in a collection of documents. Decades of research in information retrieval were successful in developing and refining techniques that are solely word-based.  The collections of documents that ar
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Picture of Dr. Madhavi Vaidya
Dr. Madhavi Vaidya
Dr. Madhavi Vaidya. Experience Assistant Professor with a demonstrated history of working in academics field. Skilled in C, Pytho, SQL,Data Analysis etc. Strong education professional with a Master in Computer Applications, MPhil focused in Computer Science. Doctorate in Big Data Analytics using various Distributed File Systems along with Hadoop-MapReduce. Having published 25+ research papers in various National and International Conferences and journals like ACM, IEEE, Elsevier, IJCA to name a few and acting as a reviewer for IEEE access.
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