research-article

Web Usage Classification and Clustering Approach for Web Search Personalization

Authors:

K. Vijayalakshmi,

Sudarson JenaAuthors Info & Claims

ICCCT '15: Proceedings of the Sixth International Conference on Computer and Communication Technology 2015

Pages 376 - 383

https://doi.org/10.1145/2818567.2818677

Published: 25 September 2015 Publication History

Abstract

The increases in the information resources on the World Wide Web in search of the necessary information, as users navigate the Web with multiple sites. When user surfing the web which is a huge and complicated often miss their required searching pages. Web personalization is based on the Web usage logs of user's makes advantage of the knowledge required for the analysis of the content and structure of web sites promising to solve this problem by supporting one of the procedures. The search engine can affect the effectiveness of existing approaches, depending on the user profile, which is building more and more on the web pages or documents. In this paper, we propose an efficient and novel web search based on the individual classification and clustering method. The proposed approach classified the cluster data using frequent pattern mining and multilevel association rules for recurring relationship and cluster the web usage using Hierarchical methods with the navigating site and user interest for personalization. This approach process in advance to support the real time personalization and minimizes the cost reduction of preparation personalization resource in real time. The proposed approach is an effective personalization to the user's interest; in experimental research it has shown high precision measures.

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Cited By

Abdulameer ATiun SSani NAyob MTaha A(2022)Enhanced clustering models with wiki-based k-nearest neighbors-based representation for web search result clusteringJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2020.02.00334:3(840-850)Online publication date: 1-Mar-2022
https://dl.acm.org/doi/10.1016/j.jksuci.2020.02.003
Pandey APatil KSharma SKulkarni M(2021)Personalization of Information using Graph Convolutional Network2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA)10.1109/ICAECA52838.2021.9675543(1-6)Online publication date: 8-Oct-2021
https://doi.org/10.1109/ICAECA52838.2021.9675543

Index Terms

Web Usage Classification and Clustering Approach for Web Search Personalization
1. Computing methodologies
  1. Machine learning
    1. Learning paradigms
      1. Supervised learning
        Supervised learning by classification
      2. Unsupervised learning
        Cluster analysis
    2. Machine learning approaches
      1. Classification and regression trees
2. Information systems
  1. Information retrieval

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cover image ACM Other conferences

ICCCT '15: Proceedings of the Sixth International Conference on Computer and Communication Technology 2015

September 2015

481 pages

ISBN:9781450335522

DOI:10.1145/2818567

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 September 2015

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ICCCT '15

ICCCT '15: Sixth International Conference on Computer and Communication Technology 2015

September 25 - 27, 2015

Allahabad, India

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Overall Acceptance Rate 33 of 124 submissions, 27%

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Cited By

Abdulameer ATiun SSani NAyob MTaha A(2022)Enhanced clustering models with wiki-based k-nearest neighbors-based representation for web search result clusteringJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2020.02.00334:3(840-850)Online publication date: 1-Mar-2022
https://dl.acm.org/doi/10.1016/j.jksuci.2020.02.003
Pandey APatil KSharma SKulkarni M(2021)Personalization of Information using Graph Convolutional Network2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA)10.1109/ICAECA52838.2021.9675543(1-6)Online publication date: 8-Oct-2021
https://doi.org/10.1109/ICAECA52838.2021.9675543

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