Address aggregation method and device

Abstract

Embodiments of the invention disclose an address aggregation method and device, and relate to the technical field of data processing. The device comprises an address conversion apparatus used for converting multiple communication addresses into multiple structured addresses, a feature extraction apparatus used for performing feature extraction on the structured addresses to obtain multiple featuresets corresponding to the communication addresses, a similarity determination apparatus used for determining the similarity between any two communication addresses in the communication addresses according to the feature sets corresponding to the communication addresses, and an address aggregation apparatus used for aggregating the communication addresses according to the similarity to obtain multiple clusters, wherein the feature sets at least comprise road and road number information and / or region names of regions. By utilizing the method and the device, different communication addresses belonging to the same region can be aggregated in the same cluster.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular to an address aggregation method and device. Background technique [0002] At present, in the dispatching scenario at the end of logistics, the dispatching scope of each courier generally includes multiple residential areas or multiple office buildings. In the existing technology, generally according to the receiving address of each package, the packages belonging to the same community or the same office building are manually sorted first, and then processed together according to different communities or office buildings, such as notifying the users of the parcels in the same community in batches , or put the parcels of the same community into the self-pickup cabinet in batches, and send the parcels of the same community to a certain courier for delivery one by one. [0003] With the rapid development of the logistics industry and geographic information techno...

AI Technical Summary

Problems solved by technology

[0003] With the rapid development of the logistics industry and geographic information technology, people's demand for timeliness of logistics delivery is getting higher and higher, and the above-mentioned delivery methods at the end of logistics cannot meet the needs of high-speed delivery.

In the delivery scene at the logistics end in the prior art, the parcels are sorted manually, which has the disadvantages of low delivery efficiency and reduced user experience, and there are certain sorting errors, which will further reduce the delivery efficiency

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