Address similarity calculation method and system

Abstract

The invention relates to the technical field of information processing, and discloses an address similarity calculation method and an address similarity calculation system, which can effectively improve the address similarity matching accuracy. The method comprises the following steps: acquiring a first vector corresponding to a first address and a second vector corresponding to a second address,wherein each address comprises at least one binary sequence extracted from the corresponding address; According to the position of the binary sequence in the address, weighting is carried out, the similarity of the first vector and the second vector is calculated, and when weighting is carried out, the weight of the preceding binary sequence in the address is higher than that of the following binary sequence in the address.

Description

technical field [0001] The present application relates to the field of information processing technology, in particular to address comparison technology. Background technique [0002] Unlike online e-commerce, many operational activities in offline scenarios revolve around store entities. An important source of information to identify these store or merchant entities is address information. Merchants participating in the activity and users participating in the activity can be located through the address information. And often in operation activities, in order to obtain more rebates, some stores or offline customers use address cheating to obtain additional rewards, which seriously affects the operation effect. For example: in the person-to-person project where users recommend merchants to apply for scan code payment, in order to obtain rebates and ensure that materials can be sent to fake merchants, users will use similar addresses (some small variations of addresses, such ...

AI Technical Summary

Problems solved by technology

However, in operation activities, in order to obtain more rebates, some stores or offline customers use address cheating to obtain additional rewards, which seriously affects the operation effect.

For example: in the person-to-person project where users recommend merchants to apply for scan code payment, in order to obtain rebates and ensure that materials can be sent to fake merchants, users will use similar addresses (some small variations of addresses, such as changes in pinyin numbers, etc. The guarantor can identify but the machine cannot) to bypass the same address detection strategy; in addition, there is also the problem of merchants falsely submitting store information to obtain rebates

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