Enlightening Website Structure for Enabling Client Steering Effectually

Nagakarhik D, Kusuma Tejaswini Potti

Abstract


Designing well-Constructiond websites to facilitate Operative user Steering has long been a challenge. A primary reason is that the web developers’ understanding of how a website should be Constructiond can be considerably different from that of the users. While various methods have been proposed to relink webpages to improve navigability using user Steering data, the completely reorganized new Construction can be highly unpredictable, and the cost of disorienting users after the changes remains unanalyzed. This paper addresses how to improve a website without introducing substantial changes. Specifically, we propose a mathematical programming model to improve the user Steering on a website while minimizing alterations to its current Construction. Results from extensive tests conducted on a publicly available real data set indicate that our model not only significantly improves the user Steering with very few changes, but also can be Operatively solved. We have also tested the model on large synthetic data sets to demonstrate that it scales up very well. In addition, we define two evaluation metrics and use them to assess the performance of the improved website using the real data set. Evaluation results confirm that the user Steering on the improved Construction is indeed greatly enhanced. More interestingly, we find that heavily disoriented users are more likely to benefit from the improved Construction than the less disoriented users.

Keywords


Website design, user Steering, web mining, mathematical programming

References


Pingdom, “Internet 2009 in Numbers,” http://royal.pingdom.com/2010/01/22/ intern et-2009-in-numbers/, 2010.

J. Grau, “US Retail e-Commerce:Slower But Still Steady Growth, http://www.emarketer.com/Report.aspx?cod e=emarketer_2000492

, .

Internetretailer, “Web Tech Spending Static-But High-for the

Busiest

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.

X. Fang and C. Holsapple, “An

Empirical

Study of Web Site

Steering

Constructions’ Impacts on Web Site Usability,” Decision Support Systems, vol. 43, no. 2, pp. 476-491, 2007.

J. Lazar, Web Usability: A UserCentered

Design Approach. Addison Wesley, 2006.

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. 2037, 2006.

J. Palmer, “Web Site Usability, Design, and Performance Metrics,” Information Systems Research, vol.

, no. 2, pp. 151 167, 2002.

V. McKinney, K. Yoon, and F. Zahedi, “The Measurement of

WebCustomer Satisfaction: An

Expectation and

Disconfirmation Approach,”

Information Systems Research, vol. 13, no. 3, pp. 296315, 2002.

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. [11]M.

Perkowitz and O. Etzioni, “Towards Adaptive Web Sites:

Conceptual Framework and Case Study,”

Artificial Intelligence, vol. 118, pp. 245 275, 2000.

J. Lazar, User-Centered Web

Development. Jones and Bartlett

Publishers, 2001.

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.

J. Hou and Y. Zhang, “Operatively Finding Relevant Web Pages from

Linkage Information,” IEEE Trans.

Knowledge and Data Eng., vol. 15, no. 4, pp. 940-951, July/Aug. 2003.

H.Kao, J.Ho, and M. Chen, “WISDOM: Web Intrapage Informative

Construction Mining Based on Document Object Model,” IEEE Trans. Knowledge and Data Eng., vol. 17, no. 5, pp. 614-627, May 2005.

H. Kao, S. Lin, J. Ho, and M. Chen, “Mining Web Informative Constructions and Contents Based on Entropy Analysis,” IEEE Trans. Knowledge and Data Eng., vol. 16, no. 1, pp. 41-55, Jan. 2004.

C. Kim and K. Shim, “TEXT:

Automatic Template Extraction fromHeterogeneous Web Pages,” IEEE Trans.Knowledge and Data Eng., vol. 23, no. 4, pp. 612-626, Apr. 2011.

M. Kilfoil et al., “Toward an Adaptive Web: The State of theArt and Science,” Proc. Comm. Network and Services Research Conf., pp. 119130, 2003.

R. Gupta, A. Bagchi, and S. Sarkar, “Improving Linkage of Web Pages,”INFORMS J. Computing, vol. 19, no. 1, pp. 127-136, 2007.

C.C. Lin, “Optimal Web Site Reorganization Considering Information Overload and Search Depth,” European J. Operational Research, vol. 173, no. 3, pp. 839-848, 2006.


Full Text: PDF [Full Text]

Refbacks

  • There are currently no refbacks.


Copyright © 2013, All rights reserved.| ijseat.com

Creative Commons License
International Journal of Science Engineering and Advance Technology is licensed under a Creative Commons Attribution 3.0 Unported License.Based on a work at IJSEat , Permissions beyond the scope of this license may be available at http://creativecommons.org/licenses/by/3.0/deed.en_GB.