research-article

Web personalization by assimilating usage data and semantics expressed in ontology terms

Authors:

R. G. Tiwari,

Mohd. Husain,

V. Srivastava,

A. AgrawalAuthors Info & Claims

ICWET '11: Proceedings of the International Conference & Workshop on Emerging Trends in Technology

Pages 516 - 521

https://doi.org/10.1145/1980022.1980133

Published: 25 February 2011 Publication History

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Abstract

The glitch of providing recommendations to the visitors of a web site has received a significant amount of attention in recent years. To address this requirement, web sites provide personalized recommendations to the end users. When a personalization system relies solely on usage-based results, however, valuable information conceptually related to what is finally recommended may be missed. Moreover, the structural properties of the web site are often disregarded. So such a personalization system is required that integrates usage data with content semantics, expressed in ontology terms, in order to compute semantically enhanced navigational patterns and effectively generate useful recommendations.

In this paper we propose novel techniques that use the content semantics and the structural properties of a web site in order to improve the effectiveness of web personalization. We aim to present SWP (Semantic Web Personalization), a personalization system that integrates usage data with content semantics, expressed in ontology terms, in order to compute semantically enhanced navigational patterns and effectively generate useful recommendations.

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Index Terms

Web personalization by assimilating usage data and semantics expressed in ontology terms
1. Information systems
  1. World Wide Web
    1. Web applications
    2. Web services

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ICWET '11: Proceedings of the International Conference & Workshop on Emerging Trends in Technology

February 2011

1385 pages

ISBN:9781450304498

DOI:10.1145/1980022

Program Chair:
B. K. Mishra

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

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Published: 25 February 2011

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Thakur College Of Engg. & Tech

ICWET '11: International Conference & Workshop on Emerging Trends in Technology

February 25 - 26, 2011

Maharashtra, Mumbai, India

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Kaur GTiwari R(2023)Comparison and Analysis of Popular Frontend Frameworks and Libraries: An Evaluation of Parameters for Frontend Web Development2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)10.1109/ICESC57686.2023.10192987(1067-1073)Online publication date: 6-Jul-2023
https://doi.org/10.1109/ICESC57686.2023.10192987
Tiwari RGautam VTrivedi N(2023)Heritage of India: Advanced Monuments Classification using Artificial Intelligence2023 3rd International Conference on Computing and Information Technology (ICCIT)10.1109/ICCIT58132.2023.10273890(206-210)Online publication date: 13-Sep-2023
https://doi.org/10.1109/ICCIT58132.2023.10273890
Gautam VTiwari RKumar Trivedi N(2023)Heritage Tourism and Religious Identity: A Deep Neural Network-Based Deductive Classification Approach2023 3rd International Conference on Computing and Information Technology (ICCIT)10.1109/ICCIT58132.2023.10273884(404-408)Online publication date: 13-Sep-2023
https://doi.org/10.1109/ICCIT58132.2023.10273884
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Web mining for web personalization

Building Web Personalization System with Time-Driven Web Usage Mining

Web personalization based on usage mining

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