International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

An Approach for Enhanced Web Site Composition via Well-Dressed Clustering

Prof. Pallavi shejwalJSPM Bhivarabai Sawant Institute of Technology and Research Centre Wagholi, Pune, IndiaJaydeep gawadeJSPM Bhivarabai Sawant Institute of Technology and Research Centre Wagholi, Pune, IndiaPratik tonageJSPM Bhivarabai Sawant Institute of Technology and Research Centre Wagholi, Pune, IndiaSuraj maneJSPM Bhivarabai Sawant Institute of Technology and Research Centre Wagholi, Pune, IndiaPritesh patilJSPM Bhivarabai Sawant Institute of Technology and Research Centre Wagholi, Pune, India

Vol 5 No 6 (2021): Volume 5, Issue 6, June 2021 | Pages: 102-106

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 29-06-2021

doi Logo doi.org/10.47001/IRJIET/2021.506020

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Abstract
Development of websites to facilitate effective user navigation is the challenging task observed these days. Because the way web developers think and design the system is quite different from that of the user. Different methods have been projected to re-link WebPages in order to recover navigability using user direction-finding data. The fully reorganized emerging structure can be highly impulsive, and the cost of disorienting users after the changes remains unanalyzed. The proposed system presents architecture to cluster the usage statistics of all the users to re-link WebPages. The re-ordering or reforming will mostly be based on clusters generated. Hence an optimal selection of clusters is significant step in implementation of the system. Hence system uses an enhanced K means clustering algorithm where in the number of clusters (optimal) can be routinely designed and clusters are generated consequently. The system also develops a arithmetical programming model to recover the user navigation on a website. The system is imagined the deliver the functionality of a test bench website for data collection and then reorder it based on statistics collected to present the effectiveness of our model.
Keywords

K-means Clustering, User navigation, Relinking


Citation of this Article

Prof. Pallavi shejwal, Jaydeep gawade, Pratik tonage, Suraj mane, Pritesh patil, “An Approach for Enhanced Web Site Composition via Well-Dressed Clustering” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 6, pp 102-106, June 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.506020
Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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