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On service-enhanced product recommendation guiding users through complex product specification

机译:通过复杂产品规范,在服务增强产品推荐引导用户

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Complex service-enhanced products such as solar power plants and intelligent buildings are one-of-a-kind and highly customized by nature. As such on one hand the specification of their sub-products and services involve a wide variety of competitive/cooperative stakeholders and on the other hand through different stages of their long life cycle, these specification are generated in different sessions and go through many iterations. These characteristics of complex products make the process of specifying their components difficult and time-consuming. We have previously defined the tools for specification of both sub-products and their enhancing services related to complex products [1], [2]. In this paper we introduce an approach for the use of a recommender system to assist designers of sub-products with reusing the existing specifications, as well as for recommending business services that can enhance the defined sub-products. Considering that multitudinous (hundreds to thousands) components present in complex products, their specifications cannot be accomplished without proper reuse of related existing specifications in the system, shared by different stakeholders. The introduced recommender system assists designers with their specification of new components, using the previously specified components in the system, and discovers/ranks those similar components, while matching the preferences and requirements set by the users.
机译:复杂的服务增强产品,如太阳能发电厂和智能建筑物是一种唯一的和高度定制的自然。这样一方面它们的子产品和服务的规范中有各种各样的竞争/合作的利益相关者,并通过他们的长生命周期的不同阶段,另一方面,在不同的会话生成这些规范,并经过多次迭代。这些复杂产品的这些特性使得指定其组件难以耗时的过程。我们之前已经定义了对复杂产品相关的子产品的规范和增强服务的工具[1],[2]。在本文中,我们介绍了一种用于使用推荐系统来帮助设计人员的方法,以重复使用现有规格,以及推荐可以增强所定义的子产品的业务服务。考虑到复杂产品中存在的多态(数百至数千个)组件,不能在不同利益相关者共享的系统中不适当地重用相关现有规格的规格来完成。引入的推荐系统使用先前指定的组件在系统中使用先前指定的组件,帮助设计人员,并在匹配用户设置的偏好和要求时发现/排列这些类似的组件。

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