Deep online recommendations for connected E-taxis by coupling trajectory mining and reinforcement learning

Research article (International Journal of Geographical Information Systems, 2023) · cited 12× · AI/ML
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Deep online recommendations for connected E-taxis by coupling trajectory mining and reinforcement learning

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Deep online recommendations for connected E-taxis by coupling trajectory mining and reinforcement learning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Deep online recommendations for connected E-taxis by coupling trajectory mining and reinforcement learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-online-recommendations-for-connected-e-taxis-by-coupling-trajectory-mining-and-reinforcement-learning
MLA “Deep online recommendations for connected E-taxis by coupling trajectory mining and reinforcement learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-online-recommendations-for-connected-e-taxis-by-coupling-trajectory-mining-and-reinforcement-learning.
BibTeX @misc{4ortxyz_deep-online-recommendations-for-connected-e-taxis-by-coupling-trajectory-mining-and-reinforcement-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep online recommendations for connected E-taxis by coupling trajectory mining and reinforcement learning}}, year = {2026}, url = {https://4ort.xyz/entity/deep-online-recommendations-for-connected-e-taxis-by-coupling-trajectory-mining-and-reinforcement-learning}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep online recommendations for connected E-taxis by coupling trajectory mining and reinforcement learning — https://4ort.xyz/entity/deep-online-recommendations-for-connected-e-taxis-by-coupling-trajectory-mining-and-reinforcement-learning (retrieved 2026-05-24)

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