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Titlebook: SYNER-G: Systemic Seismic Vulnerability and Risk Assessment of Complex Urban, Utility, Lifeline Syst; Methodology and Appl K. Pitilakis,P.

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楼主: 迅速
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e agent (as nodes of its network) is different each other, and exploring how the agents can be promoted to share only correct opinions by preventing to acquire the incorrect opinions in the weighted network. For this purpose, this paper focuses on Autonomous Adaptive Tuning algorithm (AAT) which can
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Paolo Franchinlso one of the widely research topics. Many tourism recommendation system studies use Collaborative Filtering (CF) method and try to add personality traits to the recommendation system methods to improve the precision. Zhou et al. (2007) suggested that Mass Diffusion (MD) method has more precision t
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Graeme Weatherill,Simona Esposito,Iunio Iervolino,Paolo Franchin,Francesco Cavalierically combines sentiment classification and user portraits. The study takes the online reviews of smart watches on an e-commerce website as the data source, the product attributes that users pay attention to are obtained through word frequency analysis and LDA model, and the NLPIR sentiment analysis
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