A METRICS BASED APPROACH TO ANALYSE WEB USAGE PATTERN
DOI:
https://doi.org/10.24297/ijct.v1i1.6089Keywords:
Web Metrics, website, web analytics, web usage pattern, web visitorAbstract
Web metrics are established goals and standards for measuring website performance. Web Analytics can be used to analyze and statistically process user and customer behavior. Web Analytics especially refers to the use of data collected from a Website to determine which aspects of the Website work towards the business objectives. This paper provides a web metrics based approach that can be used to analyze and improve web usage pattern. We define a set of 15 web metrics that can play an important role in understanding web visitors behavior and provide suggestion how these metrics can help in making a website more popular. We describe the approach by considering a case study of the website gndu.ac.in for the data collected over a period of five months.
Downloads
References
[2] Jean-Pierre Norguet, How to use Web Analytics for Improving Web Applications, IBM Corp.2004, Available at http://www.redbooks.ibm.com/redpapers/pdfs/redp3820.pdf.
[3] Laura S. Quinn, A Few Good Web Analytics Tools:Measure your Web site's success, April 19 2007, Available at http://www.techsoup.org/lear ningcenter/inter net/page6760.cf
[4] ww.tnwebtech.com/tennessee/search_engine_m arketing.htm [5] A survey of Web metrics, Devanshu Dhyani, Wee Keong, Sourav S., Technological University, Singapore, Singapore, ACM Computing Surveys (CSUR) archive Volume 34, Issue 4 (December 2002), Pages: 469 – 503, 2002, ISSN:0360-030 [6] Visual Analysis of Website Browsing Patterns, Stephen G. Eick Visintuit, Lecture Notes in Computer Science, Springer Berlin/Heidelberg 0302-9743 (Print) 1611-3349 (Online), Volume 2539/2002, ISBN: 978-3-540-00247-5. [7] Implementing Web Analytics, Overcoming the Top 5 Challenges , White Paper from Edgewater Technology Summer 2008. [8] An Empirical Study of How People Perceive Online Behavioral Advertising, Aleecia M. McDonald1 and Lorrie Faith Cranor2, Carnegie Mellon University November 10, 2009. [9] Collaborative Web Recommendation Systems – A Survey Approach, A. Kumar and Dr. P. Thambidurai , Global Journal of Computer Science and Technology Vol. 9 Issue 5 (ver 2.0) , January 2010 P a g e 30. [10] Web Analytics: Empowering Customer Centricity , Waisberg D., Kaushik, a., 2009 semj.org volume2 issue 1. [11] Website optimization with web metrics: a case study, Birgit Weischedel, Eelko K. R. E. Huizingh [24], ACM International Conference Proceeding Series; Vol. 156 archive Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet Business – to –business e – commerce track Pages: 463 – 470, 2006, ISBN:1-59593-392-1
[12] An Empirical Study of How People Perceive Online Behavioral Advertising, Aleecia M. McDonald1 and Lorrie Faith Cranor2, Carnegie Mellon University November 10, 2009. [13] Evaluating how users interact with NHS Direct Online, Dr Shirley Large, and Kate Arnold, NHS Direct New Media, Strawberry Fields, Berrywood Business Village, Tollbar Way, Hedge End, Hampshire, SO302UN. http://www.nhsdirect.nhs.uk [14] Measurement and Analysis of Online Social Networks, Alan Mislove Massimiliano Marcon Krishna P. Gummadi Peter Druschel Bobby Bhattacharjee Max Planck Institute for Software Systems, Rice University.
[15] Classifying web metrics using the web quality model, Coral Calero, Julia´n Ruiz and Mario Piattini, ALARCOS Research Group, Computer Science Department, University of Castilla-La Mancha, Ciudad Real, Spain [16] Web Analytics Key Metrics and KPIs, Web Analytics Association 2300 M Street, Suite 800 Washington DC 20037 standards@ webanalyticsassociation.org 2005 Web Analytics Association Authors: Guy Creese & Jason Burby