Zhaoji Yu
School of Management, Shenyang University of Technology, Shenyang, 110870, China
Wen Lu
School of Management, Shenyang University of Technology, Shenyang, 110870, China
ABSTRACT
In e-commerce web site, the webpage linkage structure directly influenced the efficiency of obtaining commodity information and the degree of customers satisfactory. The webpage linkage structure also influenced the online reputation. The aim of the study on the optimization of webpage linkage structure in e-commerce is to solve the above problems. An optimization model of the study for web page linkage structure was established. The optimization objective includes minimizing average searching depth of web linkage structure, maximizing average associating degree among linkage web pages and maximizing significant degree of web pages. To solve above model easily, the transforming approach of the optimization model for web page linkage structure is studied. For solving the optimization model, antibody representing, affinity degree calculating, clone selecting were studied and the solving steps of artificial immune algorithm were designed. The artificial immune algorithm provided a wider leeway of decision-making for a variety of optimization problem. The result showed that, under the condition that the solving precisions by two algorithms were almost the same, the optimal solutions by artificial immune algorithm appeared obvious diversity, by which multi typical schemes can be provided for linkage structure designing in e-commerce web site.
PDF References Citation
How to cite this article
Zhaoji Yu and Wen Lu, 2013. Optimization Model and Algorithm for Web Page Linkage Structure
under Electronic Commerce. Journal of Applied Sciences, 13: 3504-3509.
DOI: 10.3923/jas.2013.3504.3509
URL: https://scialert.net/abstract/?doi=jas.2013.3504.3509
DOI: 10.3923/jas.2013.3504.3509
URL: https://scialert.net/abstract/?doi=jas.2013.3504.3509
REFERENCES
- Fang, X. and C.W. Holsapple, 2007. An empirical study of web site navigation structures impacts on web site usability. J. Decis. Support Syst., 5: 476-491.
CrossRef - Nakayama, T., H. Kato and Y. Yamane, 2000. Discovering the gap between Web site designers expectations and users behavior. J. Comput. Networks, 33: 811-822.
CrossRef - Fu, Y., M.Y. Shih, M. Creado and C. Ju, 2002. Reorganizing web sites based on user access patterns. Int. J. Intell. Syst. Account Finance Manage., 11: 39-53.
CrossRef - Feng, J. and H.C. Tao, 2007. An algorithm for optimizing web-site organization based on user access patterns. Microelectron. Comput., 8: 122-124.
Direct Link - Wang, Y.W. and D.W. Wang, 2003. Accessibility and visiting rate based optimal adjustment approach to link structure for e-supermarket website. Inform. Contr., 8: 19-22.
Direct Link