Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation-Reference-Cited by-同舟云学术

Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation

Published:2019-07-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
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Author:

Wang Jingyuan¹,Wu Ning¹,Zhao Wayne Xin²,Peng Fanzhang¹,Lin Xin¹

Affiliation:

1. Beihang University, Beijing, China

2. Renmin University of China, Beijing, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Science and Technology Project of Beijing

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3292500.3330824

Reference36 articles.

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2. Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2014. Neural Machine Translation by Jointly Learning to Align and Translate. (2014). arxiv: 1409.0473 Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2014. Neural Machine Translation by Jointly Learning to Align and Translate. (2014). arxiv: 1409.0473

3. Learning Points and Routes to Recommend Trajectories

4. Discovering popular routes from trajectories

5. Junyoung Chung Caglar Gulcehre Kyunghyun Cho and Yoshua Bengio. 2015. Gated feedback recurrent neural networks. In ICML. 2067--2075. Junyoung Chung Caglar Gulcehre Kyunghyun Cho and Yoshua Bengio. 2015. Gated feedback recurrent neural networks. In ICML. 2067--2075.

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