Alade Rahman, M. and Farooq Ahmad, H. and Suguri, Hiroki and Sadik, Sarmad and Longe, H.O.D. and Ojo, A. K. (2008) Supply chain optimization towards personalizing web services. In: 2008 4th International IEEE Conference Intelligent Systems. IEEE, pp. 19-17. ISBN 978-1-4244-1739-1
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Abstract
Personalization, which has the ultimate goal of satisfying user’s requests, can be perceived in terms of QoS measurement. As one of the means for the success of Semantics Web, many techniques have been effectively used in modeling and developing web service personalization. However, most of these methodologies relied heavily on detailed implicit and explicit information supply by users during initial and subsequent interactions with the systems. We propose in this paper a novel approach using the supply chain management (SCM) technique in personalizing web services as against the conventional notion of applying SCM only to product manufacturing. Our user-model based framework uses multi-agent system (MAS) components in taking requests from users and working towards their satisfaction including seeking for additional information outside the system as the need arises. Only basic stereotype information furnished by potential users at initial contact is required for personalization during subsequent interactions with the system. The system is adaptive and aimed at high quality autonomous information services where users are successfully presented preferred web services with minimum information request.
Item Type: | Book Section |
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Keywords: | Multi-Agent System; Semantic Web; Supply Chain Optimization; User Modeling; |
Academic Unit: | Faculty of Social Sciences > Research Institutes > Innovation Value Institute, IVI Faculty of Social Sciences > School of Business |
Item ID: | 15883 |
Identification Number: | https://doi.org/10.1109/IS.2008.4670464 |
Depositing User: | Adegboyega Ojo |
Date Deposited: | 26 Apr 2022 13:41 |
Publisher: | IEEE |
Refereed: | Yes |
URI: | |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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