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International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed, Platinum Open Access and Multidisciplinary

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Expedite Effective Client Navigation System through Improved Website Structure

Mohammad Raziuddin, T. Venkata Ramana, , ,
Affiliations
Assistant Professor, NMREC
Professor & HOD, CSE, SLC's IET
:NOT ASSIGNED


Abstract
Planning well-structured websites to encourage successful client navigation has long been a test. A fundamental reason is that the web designers' comprehension of how a site ought to be organized can be extensively unique in relation to that of the clients. While different strategies have been anticipated to relink web pages to enhance navigations utilizing client route information, the completely revamped new structure can be to a great degree eccentric, and the expense of muddling clients after the progressions stays unanalyzed. This paper addresses how to enhance a website without presenting considerable changes. In particular, we propose a numerical programming model to enhance the client navigation on a website while minimizing modifications to its present structure. Results from far reaching tests directed on an openly accessible genuine information set demonstrate that our model not just fundamentally enhances the client route with not very many changes, additionally can be effectively comprehended. Also, 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 navigation on the improved structure is indeed greatly enhanced. More interestingly, we find that heavily unsettled users are more likely to benefit from the improved structure than the less disoriented users.


Citation
Mohammad Raziuddin,T. Venkata Ramana."Expedite Effective Client Navigation System through Improved Website Structure". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.6, Issue 04,pp.481-485, April - 2019, URL :https://ijcert.org/ems/ijcert_papers/V2I805.pdf,


Keywords : Website Design, User Navigation, Web Mining, Mathematical Programming

References
[1] Robert Cooley, Bamshad Mobasher, and Jaideep Srivastava‛ Data Preparation for Mining World Wide Web Browsing Patterns‛. 
[2] Mike Perkowitz and Oren Etzioni ‚Towards adaptive Web sites: Conceptual framework and case study‛ Artificial Intelligence 118 (2000) 245–275, 1999. 
[3] Joy Shalom Sona, Asha Ambhaikar ‚Reconciling the Website Structure to Improve the Web Navigation Efficiency‛ June 2012. 
[4] C.C. Lin, ‚Optimal Web Site Reorganization Considering Information Overload and Search Depth,‛ European J. Operational Research. 
[5] R. Gupta, A. Bagchi, and S. Sarkar, ‚Improving Linkage of Web Pages,‛ INFORMS J. Computing, vol. 19, no. 1, pp. 127-136, 2007. 
[6] Y. Fu, M.Y. Shih, M. Creado, and C. Ju, ‚Reorganizing Web Sites Based on User Access Patterns,‛ Intelligent Systems in Accounting, Finance and Management. 
[7]Min Chen and young U. Ryu ‚Facilitating Effective User Navigation through Website Structure Improvement‛ IEEE KDD vol no. 25. 2013. 
[8] Yitong wang and Masaru Kitsuregawa ‚Link Based Clustering of Web Search Results‛ Institute of Industrial Science, The University of Tokyo. 
[9] Bamshad Mobasher,Robert Cooley, Jaideep Srivastava ‚Creating Adaptive Web Sites Through Usage-Based Clustering of URLs‛. 
[10] Bamshad Mobasher,Robert Cooley, Jaideep Srivastava‛Automatic Personalization Based on Web Usage Mining‛. 
[11] Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakagawa‛ Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization‛


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DOI:10.22362/ijcert


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