Address Text Matching Method and Device

Abstract

The invention discloses an address text matching method and device, and relates to the technical field of computers. A specific embodiment of the method includes: for each address text in the two address texts to be matched: using the address element keyword contained in the address text, obtaining its address element level corresponding to the address element keyword Feature words; determine the similarity of the feature words of the two address texts at the same address element level, and obtain the matching degree of the two address texts according to the similarity; and when the matching degree meets the preset matching condition, The two address texts are determined as matching texts. This embodiment can realize high-precision judgment of whether the address text matches.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method and device for matching address text. Background technique [0002] With the rapid development of the logistics industry, the service provider will accumulate a large amount of user address data, which has great mining value and application value, and matching any address data is the key. Due to the many expressions of address data and irregular writing by users, it is difficult to match any address data. In the prior art, address data matching is generally realized by methods such as manual judgment, fuzzy index matching, edit distance matching, longitude and latitude matching, and the like. [0003] In the process of realizing the present invention, the inventor finds that there are at least the following problems in the prior art: [0004] 1. In the face of massive address data, the manual judgment method is costly and inefficient, and cannot meet the timeliness r...

AI Technical Summary

Problems solved by technology

[0004] 1. In the face of massive address data, the manual judgment method is costly and inefficient, and cannot meet the timeliness requirements

[0005] 2. Fuzzy index matching is generally only applicable to specific environments and its precision is low

[0006] 3. The edit distance matching method has low accuracy, is sensitive to the length of address data, and is easily affected by irrelevant information and repeated information in address data

[0007] 4. The longitude and latitude matching method cannot reach the level of accurate home due to the limited positioning accuracy. In addition, the longitude and latitude are plane information, and this method cannot distinguish different floors corresponding to the same ground

Images