A lost customer information restoration method and system

Abstract

The invention relates to a lost customer information restoration method and system, and the method comprises the steps of collecting and sorting the telephone information of all data customers stored in all channels, so as to construct a unified telephone information library; respectively constructing a telephone relation classifier and a telephone validity classifier through machine learning training; obtaining telephone information and telephone evidence information retained by a lost customer, and updating the two classifiers respectively to obtain a telephone relation identification model and a telephone validity identification model; according to the two identification models, eliminating low-intimacy relation telephones and invalid telephones in a unified telephone information base, and obtaining residual telephone information; and comparing the residual telephone information with the existing pre-stored telephone information of the lost customer, and extracting newly added effective telephone information from the residual telephone information to obtain the restored telephone information of the lost customer. Compared with the prior art, the invention can reduce the repair difficulty and cost, and guarantees the timeliness and accuracy of lost customer information repair.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method and system for restoring lost-connection customer information. Background technique [0002] In the post-loan collection business of banks and financial institutions, the biggest problem is the low contact rate of customer calls, that is, there are a large number of lost customers, which makes it difficult to effectively implement post-loan collection. [0003] For this reason, it is necessary to restore the lost customer information. One is to obtain the existing contact information of the lost customer through external channels, that is, to obtain relevant information through the collection company; the other is to rely on the phone information retained by its own channels. However, as the China Banking Regulatory Commission intensifies its management of the collection industry, the channels for repairing external telephone information have plummeted, and most ...

AI Technical Summary

Problems solved by technology

However, as the China Banking Regulatory Commission intensifies its management of the collection industry, the channels for repairing external telephone information have plummeted, and most of the effective telephone information in its own channels is stored in unstructured data such as voice and text, making it difficult to mine and refine in the later stage Larger, higher repair costs, and unable to complete the restoration of lost customer information in a timely and accurate manner

[0004] In addition, for the currently repaired phone information, due to the inability to confirm the validity of the phone information, the risk of calling is high, resulting in low call efficiency and high risk of complaints; The connection between customers will also lead to a large amount of phone information not being fully utilized, prone to repair failures or inaccurate repairs

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