@inproceedings{2711851c1e544fccaec849bf652146fd,
title = "TDCM: Transport Destination Calibrating Based on Multi-task Learning",
abstract = "Accurate location and address of destination are critical for bulk commodity transportation, which determines the service quality of the logistics applications such as transport task dispatching and route planning. But due to manual input errors of the operators and dynamic changes of the destination{\textquoteright}s location, the address of destination is not always correct and complete. To tackle this issue, we propose Transport Destination Calibration framework based on Multi-task learning, called TDCM. To correctly pinpoint the locations of destinations that are close to each other but differ in size, we cluster stay points to get stay areas and then merge them based on road turn-off location to obtain stay hotspots. Further, to precisely recognize the transport destination for each waybill, we devise an end-to-end multi-task destination matching model by incorporating with an attention mechanism. It can identify all destinations{\textquoteright} instances and meanwhile can match them with the corresponding waybills{\textquoteright} addresses respectively. Experimental results on real-world steel logistics data demonstrate the effectiveness and superiority of TDCM.",
keywords = "Attention mechanism, Multi-task learning, Road turn-off location, Transport destination calibration",
author = "Tao Wu and Kaixuan Zhu and Jiali Mao and Miaomiao Yang and Aoying Zhou",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 23rd Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023 ; Conference date: 18-09-2023 Through 22-09-2023",
year = "2023",
doi = "10.1007/978-3-031-43430-3\_17",
language = "英语",
isbn = "9783031434297",
series = "Lecture Notes in Computer Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "276--292",
editor = "\{De Francisci Morales\}, Gianmarco and Francesco Bonchi and Claudia Perlich and Natali Ruchansky and Nicolas Kourtellis and Elena Baralis",
booktitle = "Machine Learning and Knowledge Discovery in Databases",
address = "德国",
}