Home > Vol. 1, No. 1

International Journal of Recent Trends in Engineering (IJRTE)

ISSN 1797-9617

Volume 1,  Number 1,  May 2009

Issue on Computer Science

Page(s): 227-231

SCAZER - Analyzing Web Content through Users’ Access Patterns

            Amiya Kumar Tripathy, Siddharth Nimkar, Meenakshi Srivastava

Full text:  PDF

Abstract

In a web the user focuses on the most relevant information or the information which it finds more interesting. To know the users interests many of the sites directly ask their needs, which the users find it cumbersome to do always or they ask for registering which needs filling of the forms, taking feedback, etc.

 “SCAzer” Site Content Analyzer deals with this. It develops a method for improving the overall content of the website, tracking the users without asking their needs or without their intervention This paper describes a new method “SCAzer”- Analyzing Web Content through User’s Access Patterns to improve the overall contents of the webpage, rates the page, gives information about the domains and the number of users visited by tracking the users through log files.

Index Terms

Data Mining, Web Mining, Information System

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