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Friend recommendation service is a common and important demand for the users on various online platforms. Current studies mainly focus on making predictions with the neighborhood and path information derived from the personal relationship networks. However, the formed links do not indicate that two users are familiar with each other nor have intimate connections. Selective treatments are made according...
Multi-disciplinary virtual prototype (MDVP) based on modeling and computer simulation technology has been applied in a wide range of engineering applications, especially the design, testing and evaluation of complex products. Generally, a large set of parameters need to be optimized to improve the performance of the prototype, which comprises a number of heterogeneous models from multiple domains...
With the explosion of Internet information, recommender system plays an increasingly important position in online video searching. Collaborative filtering technique the most popular recommendation algorithm is inefficient in cold-start scenario. In this paper, we focus on new movie cold start problem and aim to bridge the gap between movie labels and movie similarity. A useful approach is proposed...
Cloud manufacturing (CMfg) adopts and extends the concept of cloud computing to make mass Manufacturing Resources and Capabilities (MR/Cs) more widely integrated and accessible to users through the Internet. However, a single manufacturing cloud (MC) has limited MR/Cs, due to both economic and technical constraints, and can only provide limited manufacturing services in terms of function, price, and...
Cloud Manufacturing (CMfg) adopts and extends the concept of cloud computing to make mass Manufacturing Resources and Capabilities (MR/Cs) more widely integrated and accessible to users through the Internet. However, a single manufacturing cloud (MC) only has relatively limited scalability and elasticity. Using the aggregated MR/Cs from multiple MCs is a natural evolution. To address this requirement,...
Most of the previous studies on scientific collaborator recommendation are based on social proximity analysis to suggest collaborators. However, the extracted homogeneous features cannot well represent the multiple factors which may implicitly affect the future scientific collaboration. In this paper we propose an approach based on the multiple heterogeneous network features, which has produced good...
The popularity of the modeling and simulation application increases the demand for acquiring the service of the simulation resource and capability (R/C) anytime, anywhere, on demand through the network. Cloud simulation draws the idea of cloud computing that integrates and shares the R/Cs to provide services which significantly depending on the R/Cs' management. Most existing work assumes that there...
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