NEON: Living Needs Prediction System in Meituan-Reference-Cited by-同舟云学术

NEON: Living Needs Prediction System in Meituan

Published:2023-08-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
language:
Short-container-title:

Author:

Lan Xiaochong¹^ORCID,Gao Chen¹^ORCID,Wen Shiqi²^ORCID,Chen Xiuqi²^ORCID,Che Yingge²^ORCID,Zhang Han²^ORCID,Wei Huazhou²^ORCID,Luo Hengliang¹^ORCID,Li Yong¹^ORCID

Affiliation:

1. Tsinghua University, Beijing, China

2. Meituan, Beijing, China

Funder

BNRist

National Key Research and Development Program of China

This work is supported by a grant from the Guoqiang lnstitute, Tsinghua University

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599874

Reference42 articles.

1. Raza Abid Abbasi , Nadeem Javaid , Muhammad Nauman Javid Ghuman , Zahoor Ali Khan , and Shujat Ur Rehman . 2019 . Short term load forecasting using XGBoost. In Web , Artificial Intelligence and Network Applications: Proceedings of the Workshops of the 33rd International Conference on Advanced Information Networking and Applications (WAINA-2019) 33. Springer, 1120--1131. Raza Abid Abbasi, Nadeem Javaid, Muhammad Nauman Javid Ghuman, Zahoor Ali Khan, and Shujat Ur Rehman. 2019. Short term load forecasting using XGBoost. In Web, Artificial Intelligence and Network Applications: Proceedings of the Workshops of the 33rd International Conference on Advanced Information Networking and Applications (WAINA-2019) 33. Springer, 1120--1131.

2. K Aishwarya , N Rao , Nikita Kumari , Akshit Mishra , and MR Rashmi . 2020 . Food Demand Prediction using machine learning . International Research Journal of Engineering and Technology (IRJET) , Vol. 7 (2020). K Aishwarya, N Rao, Nikita Kumari, Akshit Mishra, and MR Rashmi. 2020. Food Demand Prediction using machine learning. International Research Journal of Engineering and Technology (IRJET), Vol. 7 (2020).

3. Preeti Bhargava Thomas Phan Jiayu Zhou and Juhan Lee. 2015. Who what when and where: Multi-dimensional collaborative recommendations using tensor factorization on sparse user-generated data. In WWW. 130--140. Preeti Bhargava Thomas Phan Jiayu Zhou and Juhan Lee. 2015. Who what when and where: Multi-dimensional collaborative recommendations using tensor factorization on sparse user-generated data. In WWW. 130--140.

4. Chen Cheng , Haiqin Yang , Irwin King , and Michael Lyu . 2012 . Fused matrix factorization with geographical and social influence in location-based social networks . In Proceedings of the AAAI conference on artificial intelligence , Vol. 26 . 17--23. Chen Cheng, Haiqin Yang, Irwin King, and Michael Lyu. 2012. Fused matrix factorization with geographical and social influence in location-based social networks. In Proceedings of the AAAI conference on artificial intelligence, Vol. 26. 17--23.

5. Wide & Deep Learning for Recommender Systems

Cited by 1 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. To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10