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- W2376608659 abstract "A hybrid model for personalized recommendation that is based on small world network and Bayesian network is presented.Small world network has a good property in clustering and Bayesian network is compatible for probability inference.The hybrid model consists of two layers.One is for consumers' layer and the other is for produce's layer.The relationships among nodes of consumers are described by small world network at low layer.The implications among nodes of produce are represented by Bayesian network at high layer.Directed arcs denote the tendency between consumer's layer and produce's layer.We also introduce several algorithms for clustering based on small world network,structure learning and parameter learning and recommended based this model.The experimentation shows that the model can well represent the relationships between consumer to consumer,produce to produce and consumer to produce.The result of recommendation based this hybrid mode is better than other." @default.
- W2376608659 created "2016-06-24" @default.
- W2376608659 creator A5070326880 @default.
- W2376608659 date "2010-01-01" @default.
- W2376608659 modified "2023-09-23" @default.
- W2376608659 title "Hybrid Recommended Model Based on Small World and Bayesian Networks" @default.
- W2376608659 hasPublicationYear "2010" @default.
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