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Building Web Personalization System with Time-Driven Web Usage Mining

Published: 10 August 2015 Publication History

Abstract

Web personalization is a powerful tool used for personalizing the Websites. The personalization system aims at suggesting the Web pages to the users based on their navigational patterns. Use of attributes such as time, popularity of Web objects makes the model more efficient. This paper proposes a novel Web personalization model which utilizes time attributes, such as duration of visit, inter-visiting time, burst of visit, and the user's navigational pattern. Test results indicate that the proposed model explores the user's behaviour and their interest.

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Cited By

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  • (2017)Performance dashboard: Cutting-edge business intelligence and data visualization2017 International Conference On Smart Technologies For Smart Nation (SmartTechCon)10.1109/SmartTechCon.2017.8358558(1201-1207)Online publication date: Aug-2017
  • (2017)Introducing Adaptation Templates to Support the Implementation of Adaptive E-Commerce Applications2017 IEEE 14th International Conference on e-Business Engineering (ICEBE)10.1109/ICEBE.2017.46(243-248)Online publication date: Nov-2017
  • (2017)Time- Driven Adaptive Web Personalization System for Dynamic Users2017 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC)10.1109/ICCIC.2017.8524198(1-6)Online publication date: Dec-2017
  • Show More Cited By

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Published In

cover image ACM Other conferences
WCI '15: Proceedings of the Third International Symposium on Women in Computing and Informatics
August 2015
763 pages
ISBN:9781450333610
DOI:10.1145/2791405
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: 10 August 2015

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Author Tags

  1. Navigational Pattern
  2. Pattern Classification
  3. Pattern Discovery
  4. Web Personalization
  5. Web Usage Mining

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  • Research-article
  • Research
  • Refereed limited

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WCI '15

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WCI '15 Paper Acceptance Rate 98 of 452 submissions, 22%;
Overall Acceptance Rate 98 of 452 submissions, 22%

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Cited By

View all
  • (2017)Performance dashboard: Cutting-edge business intelligence and data visualization2017 International Conference On Smart Technologies For Smart Nation (SmartTechCon)10.1109/SmartTechCon.2017.8358558(1201-1207)Online publication date: Aug-2017
  • (2017)Introducing Adaptation Templates to Support the Implementation of Adaptive E-Commerce Applications2017 IEEE 14th International Conference on e-Business Engineering (ICEBE)10.1109/ICEBE.2017.46(243-248)Online publication date: Nov-2017
  • (2017)Time- Driven Adaptive Web Personalization System for Dynamic Users2017 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC)10.1109/ICCIC.2017.8524198(1-6)Online publication date: Dec-2017
  • (2017)Adaptive web personalization system using splay tree2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI)10.1109/ICACCI.2017.8126067(1582-1587)Online publication date: Sep-2017
  • (2016)Effective web personalization system based on time and semantic relatedness2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)10.1109/ICACCI.2016.7732242(1390-1396)Online publication date: Sep-2016

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