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International Journal of Advance Scientific Research SCIENTIFIC IDEAS. INTERNATIONAL PERSPECTIVES.
ISSN 2750-1396 12 issues per year · Monthly
Crossref DOI: 10.37547/ijasr
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Articles Published:

Models and Algorithms for Identifying Important Pages Based on User Behavior Analysis on Websites

Vol. 6 No. 05 (2026): Volume 06 Issue 05 Pages 43-46
Authors
  • Husanov Sherzod Abdimannonovich
    Senior Lecturer, Department of Multimedia Technologies, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Uzbekistan
DOI 10.37547/ijasr-06-05-06 ↗
RESEARCH OVERVIEW

Abstract

This article investigates modern models and algorithms for identifying important web pages based on the analysis of user behavior on websites. The study employs Web Usage Mining techniques, user session analysis, page transition probabilities, and clustering methods. The proposed model analyzes users’ navigational activities within a website and enables the identification of the most important pages. The model integrates Markov Chain, PageRank, K-means, and DBSCAN algorithms. Experimental results demonstrated high efficiency in identifying important pages based on user behavior analysis.

Keywords

  • Web user behavior
  • Web Usage Mining
  • user navigation
  • important page identification
SOURCES & CITATIONS

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