Vehicle information recommendation method and device and electronic equipment

Abstract

The invention provides a vehicle information recommendation method and device and electronic equipment, and the method comprises the steps: determining historical freight information matched with freight information according to the freight information of a to-be-consigned cargo, wherein the freight information comprises a target freight parameter; if it is detected that the historical vehicle information exists, recommending the historical vehicle information; if not, searching first vehicle information corresponding to the target freight parameter in a first mapping relation between the freight parameter range and the vehicle information for recommendation; if the first vehicle information is not found, searching second vehicle information corresponding to the target freight parameter in a second mapping relation between the freight parameter range and the vehicle information for recommendation, wherein the division granularity of the freight parameter range in the second mapping relation is greater than that of the freight parameter range in the second mapping relation. According to the method, the vehicle information with relatively high accuracy can be recommended to the shipper more intelligently, so that the shipper can be matched with a more appropriate carrier vehicle.

Description

technical field [0001] The present application relates to the field of information processing, in particular, to a vehicle information recommendation method, device and electronic equipment. Background technique [0002] Freight, that is, the transportation of goods. Freight transportation is the derivative demand of economic and social development and the support of commodity physical circulation. With the continuous growth of economy, the demand for freight transportation is also increasing. [0003] In the freight market, the cargo owner can act as a shipper to find a carrier to carry the goods through the network platform; specifically, the cargo owner can publish the freight information on the network platform, and the network platform can find a suitable carrier based on the freight information. When the shipper and the carrier are successfully matched, the carrier can carry the goods to transport the goods from the origin to the destination. [0004] In the related ...

AI Technical Summary

Problems solved by technology

[0004] In the related technology, after the shipper releases the freight information on the network platform, there are the following situations of matching the carrier vehicle: (1) The shipper needs to select vehicle information such as load, model, and length of the vehicle according to his own cargo situation; People lack actual selection experience, so it often happens that they cannot match a suitable vehicle; (2) The network platform recommends a carrier vehicle based on the consignor's historical consignment orders, but because the goods consigned by the same consignor are not static, Therefore, the recommendation is often inaccurate; (3) the online freight platform recommends the carrier vehicle based on the volume information, type information and weight information of the consigned goods; Error factors such as large error in weight estimation and large error in volume estimation may lead to inaccurate recommendations

[0005] Therefore, in the related art, when recommending the carrier vehicle to the shipper, there are problems of low intelligence and low accuracy

Images