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To increase the precision in recommendation, a heuristic recommendation method based on contextual social network is proposed. A contextual social network is constructed based on basic social network, including contextual information such as the trust relationship, user role, user profile and user preference. A heuristic method combined with collaborative filtering is introduced for recommendation...
With development of network technology and society, people enjoy the e-commerce shopping convenience while also deeply troubled by the "information overload" problem. Recommendation systems help the customers find suitable products they need from a large number of commodities. Among the recommendation systems, the most widely used algorithm is collaborative filtering (CF) recommendation...
The significant challenge for current and future collaborative design systems is that of providing dynamically reconfiguration and integration for complicated product development. Service-oriented architecture (SOA) has been proposed as a technology facilitator to create systems by encapsulating, composing and reconfiguring legacy systems and software rather than reprogramming. This paper presents...
An open and extensible framework of mass customization systems is needed for supporting the seamless integration of customization system, CAX tools and legacy systems. The emergence of service-oriented architecture (SOA) has brought about a loosely coupled computing environment that enables flexible integration and reuse of heterogeneous systems. In this paper, an SOA-based architecture of product...
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