Deep Reinforcement Learning-Based Multi-Object Adaptive Route Planning for Traveling Recommender Systems

Deep Reinforcement Learning-Based Multi-Object Adaptive Route Planning for Traveling Recommender Systems

In travel recommendation systems, the most important business demand is to make adaptive route planning and navigation decision based on computational intelligence. Existing researches mostly lacked the ability to adaptively suggest route planning schemes for users, according to contextual features....

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Bibliographic Details
Main Authors: Yan Wang, Pei Hu
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Deep reinforcement learning
multi-object optimization
adaptive route planning
recommendation systems
Online Access:https://ieeexplore.ieee.org/document/10292867/

Internet

https://ieeexplore.ieee.org/document/10292867/

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