An efficient approach for web-site adaptation

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Detail(s)

Original languageEnglish
Title of host publicationICEIS 2005 - Proceedings of the 7th International Conference on Enterprise Information Systems
Pages108-114
Publication statusPublished - 2005

Conference

Title7th International Conference on Enterprise Information Systems, ICEIS 2005
PlaceUnited States
CityMiami, FL
Period25 - 28 May 2005

Abstract

This paper implements a novel approach defined as the Preference-function Algorithm (PFA) for web-site adaptation. The algorithm extracts future preferences from the users' past web navigational activities. Server web logs are used to identify users' navigation behaviours by examining the traverses of various web pages. In this approach, the sessions are modeled as a finite state graph, where each visited web page is defined as a state. Then, traversing among various states provides the framework for determining the interest of the users.

Research Area(s)

  • Clustering, Data mining, Graph, Probability, Web personalization

Citation Format(s)

An efficient approach for web-site adaptation. / Jani, Seema; Makki, Sam; Jia, Xiaohua.

ICEIS 2005 - Proceedings of the 7th International Conference on Enterprise Information Systems. 2005. p. 108-114.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review