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Learning to Rank Paths in Spatial Networks.

2020 IEEE 36th International Conference on Data Engineering (ICDE)(2020)

Cited 14|Views21
Key words
diversified paths,training data,end-to-end deep learning framework,regression problem,spatial network embedding,feature vector,road network topology,recurrent neural network,substantial trajectory data,rank paths,spatial networks,modern navigation services,multiple paths,service quality,data-driven framework,historical trajectories,destination,ranking score,PathRank models path
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