When recommender systems meet fleet management: Practical study in online driver repositioning system
Jan 1, 2020·,,,,,,,,·
0 min read
Zhe Xu
Chang Men
Peng Li
Bicheng Jin
Ge Li
Yue Yang
Chunyang Liu
Ben Wang
Xiaohu Qie

Abstract
This paper presents a practical study of recommender systems in fleet management, focusing on an online driver repositioning system. By integrating recommender techniques with fleet management strategies, the proposed approach demonstrates enhanced operational efficiency in real-world scenarios.
Type
Publication
Proceedings of the Web Conference 2020