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A Smart Recommendation System for Carrier Shipper Matching Using Multilabel Classification – A SurveyBy Tejashwini N, Varun. E, S G Dhanush Kumar, Aastha Prasad, Sharan. S, Danush V. S
Abstract: Efficient matching between carriers and shippers is crucial in the logistics industry to optimize resource utilization and minimize costs. This paper puts forth a smart recommendation framework dependent on multilabel classification techniques to improve the carrier-shipper matching process. The method makes use of machine learning techniques to predict multiple relevant carrier options for a given shipment request. We present a comprehensive literature review on related works in carrier-shipper matching and …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 1, 2024 · pp. 1–7 Read article →