[1] |
Hou Jian-bin,Liu Xin.A total of 749 million express parcels were collected and delivered nationwide during the Spring Festival holiday [N].Legal Daily,2022-02-11(7).(in Chinese)
|
[2] |
Wang Z,Fu K,Ye J.Learning to estimate the travel time[C]∥Proc of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,2018:858-866.
|
[3] |
Cheng H T,Koc L,Harmsen J,et al.Wide & Deep learning for recommender systems[C]∥Proc of the 1st Workshop on Deep Learning for Recommender Systems,2016:7-10.
|
[4] |
Wang D,Zhang J,Cao W,et al.When will you arrive? Esti mating travel time based on deep neural networks[C]∥Proc of the 32nd AAAI Conference on Artificial Intelligence,and 30th Innovative Applications of Artificial Intelligence Confe- rence and 8th AAAI Symposium on Educational Advances in Artificial Intelligence,2018:2500-2507.
|
[5] |
Zhang H,Wu H,Sun W,et al.Deeptravel:A neural network based travel time estimation model with auxiliary supervision[C]∥Proc of the 27th International Joint Conference on Artificial Intelligence,2018:3655-3661.
|
[6] |
Schuster M,Paliwal K K.Bidirectional recurrent neural networks[J].IEEE Transactions on Signal Processing,1997,45(11):2673-2681.
|
[7] |
Hong H,Lin Y,Yang X,et al.HetETA:Heterogeneous information network embedding for estimating time of arrival[C]∥Proc of the 26th ACM SIGKDD International Confe- rence on Knowledge Discovery & Data Mining,2020:2444-2454.
|
[8] |
Fang X, Huang J,Wang F,et al.ConSTGAT:Contextual spatial-temporal graph attention network for travel time estimation at Baidu maps[C]∥Proc of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,2020:2697-2705.
|
[9] |
Sun Y,Fu K,Wang Z,et al.CoDriver ETA:Combine driver information in estimated time of arrival by driving style learning auxiliary task[J].IEEE Transactions on Intelligent Transportation Systems,2020,23(5):4037-4048.
|
[10] |
Fang X, Huang J, Wang F, et al.SSML:Self-supervised meta-learner for en route travel time estimation at Baidu maps[C]∥Proc of the 27th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,2021:2840-2848.
|
[11] |
Schmidhuber J.Evolutionary principles in self-referential learning,or on learning how to learn:the meta-meta-meta-… -hook[D].Münohen:Technische University München,1987.
|
[12] |
Jindal I,Chen X,Nokleby M,et al.A unified neural network approach for estimating travel time and distance for a taxi trip[J].arXiv:1710.04350,2017.
|
[13] |
Li Y,Fu K,Wang Z,et al.Multi-task representation learning for travel time estimation[C]∥Proc of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,2018:1695-1704.
|
[14] |
Wang H,Tang X,Kuo Y H,et al.A simple baseline for travel time estimation using large-scale trip data[J].ACM Transactions on Intelligent Systems and Technology,2019,10(2):1-22.
|
[15] |
Zhu L,Yu W,Zhou K,et al.Order fulfillment cycle time estimation for on-demand food delivery[C]∥Proc of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,2020:2571-2580.
|
[16] |
Caruana R.Multitask learning[J].Machine Learning,1997,28(1):41-75.
|
[17] |
Vaswani A,Shazeer N,Parmar N,et al.Attention is all you need[C]∥Proc of Annual Conference on Neural Information Processing Systems,2017: 6000-6010.
|
[18] |
Chen T,Guestrin C.XGBoost:A scalable tree boosting system[C]∥Proc of the 22nd ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,2016:785-794.
|
[19] |
Guo H, Tang R, Ye Y, et al. DeepFM:A factorization- machine based neural network for CTR prediction[C]∥Proc of the 26th International Joint Conference on Artificial Intelligence,2017:1725-1731.
|
[20] |
Lian J,Zhou X,Zhang F,et al.xDeepFM:Combining explicit and implicit feature interactions for recommender systems[C]∥Proc of the 24th ACM SIGKDD International Confe- rence on Knowledge Discovery & Data Mining,2018:1754-1763.
|
|
附中文参考文献:
|
[1] |
侯建斌,刘欣.春节假期全国共揽收投递快递包裹7.49亿件[N].法治日报,2022-02-11(7).
|