CFP last date
20 May 2024
Reseach Article

Effective User Navigation for Improving Web Structure

by Prasad K. Bhamare, Ravikumar R. Metkar, Amol A. Sonawane, Hemangi R. Katare, Kavita S. Kumavat
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 128 - Number 17
Year of Publication: 2015
Authors: Prasad K. Bhamare, Ravikumar R. Metkar, Amol A. Sonawane, Hemangi R. Katare, Kavita S. Kumavat
10.5120/ijca2015906765

Prasad K. Bhamare, Ravikumar R. Metkar, Amol A. Sonawane, Hemangi R. Katare, Kavita S. Kumavat . Effective User Navigation for Improving Web Structure. International Journal of Computer Applications. 128, 17 ( October 2015), 38-42. DOI=10.5120/ijca2015906765

@article{ 10.5120/ijca2015906765,
author = { Prasad K. Bhamare, Ravikumar R. Metkar, Amol A. Sonawane, Hemangi R. Katare, Kavita S. Kumavat },
title = { Effective User Navigation for Improving Web Structure },
journal = { International Journal of Computer Applications },
issue_date = { October 2015 },
volume = { 128 },
number = { 17 },
month = { October },
year = { 2015 },
issn = { 0975-8887 },
pages = { 38-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume128/number17/22969-2015906765/ },
doi = { 10.5120/ijca2015906765 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:22:00.273735+05:30
%A Prasad K. Bhamare
%A Ravikumar R. Metkar
%A Amol A. Sonawane
%A Hemangi R. Katare
%A Kavita S. Kumavat
%T Effective User Navigation for Improving Web Structure
%J International Journal of Computer Applications
%@ 0975-8887
%V 128
%N 17
%P 38-42
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

For effective user navigation, designing of well structure websites are have challenge over faculty of computer engineering. How websites having their ideal structure can be considered different from users is the main reason of web developers. For effective user navigation of website structure have various methods that proposed to relinking web pages, the complete fulfill new website structure are may be unpredictable and the measurement analysis or cost of disorientation(confusion of flow)of users are still incomplete their analysis. This paper having ability to improve website structure without introducing any changes like existing, illusive, changes that also know as substantial changes in also allow large changes. In addition, this paper have defining evaluating analysis and using them for compute the overall performance of improve website structure by using genuine data sets.

References
  1. J. Lazar, Web Usability: A User-Centered Design Approach. Addison Wesley, 2006.
  2. D.F. Galletta, R. Henry, S. McCoy, and P. Polak, “When the Wait Isn’t So Bad: The Interacting Effects of Website Delay, Familiarity, and Breadth,” Information Systems Research, vol. 17, no. 1, pp. 20- 37, 2006.
  3. J. Palmer, “Web Site Usability, Design, and Performance Metrics,” Information Systems Research, vol. 13, no. 2, pp. 151-167, 2002.
  4. V. McKinney, K. Yoon, and F. Zahedi, “The Measurement of Web- Customer Satisfaction: An Expectation and Disconfirmation Approach,” Information Systems Research, vol. 13, no. 3, pp. 296- 315, 2002.
  5. T. Nakayama, H. Kato, and Y. Yamane, “Discovering the Gap between Web Site Designers’ Expectations and Users’ Behavior,” Computer Networks, vol. 33, pp. 811-822, 2000.
  6. M. Perkowitz and O. Etzioni, “Towards Adaptive Web Sites: Conceptual Framework and Case Study,” Artificial Intelligence, vol. 118, pp. 245-275, 2000.
  7. J. Lazar, User-Centered Web Development. Jones and Bartlett Publishers, 2001.
  8. Y. Yang, Y. Cao, Z. Nie, J. Zhou, and J. Wen, “Closing the Loop in Webpage Understanding,” IEEE Trans. Knowledge and Data Eng., vol. 22, no. 5, pp. 639-650, May 2010.
  9. J. Hou and Y. Zhang, “Effectively Finding Relevant Web Pages from Linkage Information,” IEEE Trans. Knowledge and Data Eng., vol. 15, no. 4, pp. 940-951, July/Aug. 2003.
  10. H. Kao, J. Ho, and M. Chen, “WISDOM: Web Intrapage Informative Structure Mining Based on Document Object Model,” IEEE Trans. Knowledge and Data Eng., vol. 17, no. 5, pp. 614-627, May 2005.
  11. J. Grau, “US Retail e-Commerce: Slower But Still Steady Growth,” http://www.emarketer.com/Report.aspx ?code=emarketer_2000492, 2008.
  12. Internet retailer, “Web Tech Spending Static-But High-for the Busiest E-Commerce Sites,” http://www.internetretailer.com/dailyNews.asp?id = 23440, 2007.
  13. D. Dhyani, W.K. Ng, and S.S. Bhowmick, “A Survey of Web Metrics,” ACM Computing Surveys, vol. 34, no. 4, pp. 469-503, 2002.
  14. X. Fang and C. Hollsopple, “An Empirical Study of Web Site Navigation Structures’ Impacts on Web Site Usability,” Decision Support Systems, vol. 43, no. 2, pp. 476-491, 2007.
  15. J. Lazar, Web Usability: A User-Centered Design Approach. Addison Wesley, 2006.
  16. D.F. Galletta, R. Henry, S. McCoy, and P. Polak, “When the WaitIsn’t So Bad: The Interacting Effects of Website Delay, Familiarity, and Breadth,” Information Systems Research, vol. 17, no. 1, pp. 20-37, 2006.
Index Terms

Computer Science
Information Sciences

Keywords

Website structure user navigation data mining user tracking.