An efficient approach for web-site adaptation

Seema Jani; Sam Makki; Xiaohua Jia

An efficient approach for web-site adaptation

Seema Jani, Sam Makki, Xiaohua Jia

Department of Computer Science

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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.

Original language	English
Title of host publication	ICEIS 2005 - Proceedings of the 7th International Conference on Enterprise Information Systems
Pages	108-114
Publication status	Published - 2005
Event	7th International Conference on Enterprise Information Systems, ICEIS 2005 - Miami, FL, United States Duration: 25 May 2005 → 28 May 2005

Conference

Conference	7th International Conference on Enterprise Information Systems, ICEIS 2005
Place	United States
City	Miami, FL
Period	25/05/05 → 28/05/05

Research Keywords

Clustering
Data mining
Graph
Probability
Web personalization

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@inproceedings{7dd8af88f68f4af086825b7be3a7da4f,

title = "An efficient approach for web-site adaptation",

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.",

keywords = "Clustering, Data mining, Graph, Probability, Web personalization",

author = "Seema Jani and Sam Makki and Xiaohua Jia",

year = "2005",

language = "English",

isbn = "9728865198",

pages = "108--114",

booktitle = "ICEIS 2005 - Proceedings of the 7th International Conference on Enterprise Information Systems",

note = "7th International Conference on Enterprise Information Systems, ICEIS 2005 ; Conference date: 25-05-2005 Through 28-05-2005",

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TY - GEN

T1 - An efficient approach for web-site adaptation

AU - Jani, Seema

AU - Makki, Sam

AU - Jia, Xiaohua

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

KW - Clustering

KW - Data mining

KW - Graph

KW - Probability

KW - Web personalization

UR - http://www.scopus.com/inward/record.url?scp=78649245393&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-78649245393&origin=recordpage

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9728865198

SN - 9789728865191

SP - 108

EP - 114

BT - ICEIS 2005 - Proceedings of the 7th International Conference on Enterprise Information Systems

T2 - 7th International Conference on Enterprise Information Systems, ICEIS 2005

Y2 - 25 May 2005 through 28 May 2005

ER -

An efficient approach for web-site adaptation

Abstract

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Research Keywords

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