When recommender systems meet fleet management: Practical study in online driver repositioning system

Jan 1, 2020·
Zhe Xu
,
Chang Men
,
Peng Li
,
Bicheng Jin
,
Ge Li
,
Yue Yang
,
Chunyang Liu
,
Ben Wang
,
Xiaohu Qie
· 0 min read
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