Supply chain optimization towards personalizing web services

M. Alade Rahman, H. F. Ahmad, H. Suguri, S. Sadik, H. Longe, A. Ojo
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引用次数: 7

Abstract

Personalization, which has the ultimate goal of satisfying userpsilas 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.
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面向个性化web服务的供应链优化
个性化的最终目标是满足用户的需求,可以通过QoS度量来感知。作为语义Web成功的手段之一,许多技术已被有效地用于Web服务个性化的建模和开发。然而,这些方法大多严重依赖于用户在与系统的初始和后续交互过程中提供的详细的隐式和显式信息。我们在本文中提出了一种使用供应链管理(SCM)技术来个性化Web服务的新方法,而不是将SCM仅应用于产品制造的传统概念。我们基于用户模型的框架使用多代理系统(MAS)组件来接收用户的请求,并努力满足他们的要求,包括在需要时在系统外寻找额外的信息。在随后与系统的交互过程中,个性化只需要潜在用户在最初接触时提供的基本原型信息。该系统是自适应的,旨在提供高质量的自治信息服务,在这种服务中,用户可以用最少的信息请求成功地获得首选的Web服务。
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