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2003 IEEE/WIC International Conference on Web Intelligence (WI'03)
Adaptive Web Interface Design Using Fuzzy Logic
Halifax, Canada
October 13-October 17
ISBN: 0-7695-1932-6
ASCII Text
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Henry O. Nyongesa, Tian Shicheng, S. Maleki-Dizaji, Shr-Ting Huang, J. Siddiqi, "Adaptive Web Interface Design Using Fuzzy Logic," Web Intelligence, IEEE / WIC / ACM International Conference on, pp. 671, 2003 IEEE/WIC International Conference on Web Intelligence (WI'03), 2003.
 
 
BibTex
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@article{ 10.1109/WI.2003.1241293,
author = {Henry O. Nyongesa and Tian Shicheng and S. Maleki-Dizaji and Shr-Ting Huang and J. Siddiqi},
title = {Adaptive Web Interface Design Using Fuzzy Logic},
journal ={Web Intelligence, IEEE / WIC / ACM International Conference on},
volume = {0},
year = {2003},
isbn = {0-7695-1932-6},
pages = {671},
doi = {http://doi.ieeecomputersociety.org/10.1109/WI.2003.1241293},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Web Intelligence, IEEE / WIC / ACM International Conference on
TI - Adaptive Web Interface Design Using Fuzzy Logic
SN - 0-7695-1932-6
SP
EP
A1 - Henry O. Nyongesa,
A1 - Tian Shicheng,
A1 - S. Maleki-Dizaji,
A1 - Shr-Ting Huang,
A1 - J. Siddiqi,
PY - 2003
KW - Adaptive Interfaces
KW - Web Intelligence
KW - Fuzzy Logic
KW - Online Shopping
KW - E-commerce
VL - 0
JA - Web Intelligence, IEEE / WIC / ACM International Conference on
ER -
 
Henry O. Nyongesa, Sheffield Hallam University
Tian Shicheng, Sheffield Hallam University
S. Maleki-Dizaji, Sheffield Hallam University
Shr-Ting Huang, Sheffield Hallam University
J. Siddiqi, Sheffield Hallam University
The paper presents the development of a web portal to support on-line shopping, using fuzzy logic to enable adaptability in order to improve users' shopping experience. The adaptive interface is designed at the level of presentation of product category, through capturing and inferring dynamic user behaviour. Personalised information such as past shopping records and current shopping list is maintained. Evaluation regarding functionality and usability is performed and the results, in general, show that using a fuzzy approach for adaptation can viably be incorporated into Web interfaces.
Index Terms:
Adaptive Interfaces, Web Intelligence, Fuzzy Logic, Online Shopping, E-commerce
Citation:
Henry O. Nyongesa, Tian Shicheng, S. Maleki-Dizaji, Shr-Ting Huang, J. Siddiqi, "Adaptive Web Interface Design Using Fuzzy Logic," wi, pp.671, 2003 IEEE/WIC International Conference on Web Intelligence (WI'03), 2003
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