Itinerary Planning via Deep Reinforcement Learning-Reference-Cited by-同舟云学术

Itinerary Planning via Deep Reinforcement Learning

Published:2020-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 International Conference on Multimedia Retrieval
language:
Short-container-title:

Author:

Chen Shengxin¹,Chen Bo-Hao²,Chen Zhaojiong¹,Wu YunBing¹

Affiliation:

1. Fuzhou University, Fuzhou, China

2. Yuan Ze University, Taoyuan, Taiwan Roc

Funder

Natural Science Foundation of Fujian Province

Ministry of Science and Technology, Taiwan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3372278.3390727

Reference23 articles.

1. C. Chen D. Zhang B. Guo X. Ma G. Pan and Z. Wu. 2015. TripPlanner: Personalized Trip Planning Leveraging Heterogeneous Crowdsourced Digital Footprints. IEEE Trans. on Intelligent Transportation Systems (2015). C. Chen D. Zhang B. Guo X. Ma G. Pan and Z. Wu. 2015. TripPlanner: Personalized Trip Planning Leveraging Heterogeneous Crowdsourced Digital Footprints. IEEE Trans. on Intelligent Transportation Systems (2015).

2. Automatic Itinerary Planning for Traveling Services

3. K. Deb A. Pratap S. Agarwal and T. Meyarivan. 2002. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. on Evolutionary Computation (2002). K. Deb A. Pratap S. Agarwal and T. Meyarivan. 2002. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. on Evolutionary Computation (2002).

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Promoting sustainable tourism by recommending sequences of attractions with deep reinforcement learning;Information Technology & Tourism;2024-04-24

2. Multi-objective reinforcement learning approach for trip recommendation;Expert Systems with Applications;2023-09

3. Deep-Reinforcement-Learning-Based Planner for City Tours for Cruise Passengers;Algorithms;2023-07-28

4. Tourism Route Recommendation Using Reinforcement Learning;2023 IEEE 8th International Conference for Convergence in Technology (I2CT);2023-04-07

5. Trip Reinforcement Recommendation with Graph-based Representation Learning;ACM Transactions on Knowledge Discovery from Data;2023-02-24