Untrusted user data processing method, system and related apparatus

Abstract

The invention discloses an untrusted user data processing method. The method comprises the steps of crawling untrusted data from public untrusted databases or blacklist databases by utilizing a network crawler; according to a recording form of the untrusted data, selecting a corresponding mode for performing keyword information extraction to obtain processed keywords; performing attribution division of corresponding content data on the processed keywords according to users which the processed keywords belong to, thereby obtaining target untrusted data, and establishing an untrusted user information library by utilizing the target untrusted data; and judging whether abnormal content data occurs in the untrusted user information library or not, and if the abnormal content data occurs, correcting the abnormal content data according to a priority sequence of the processed keywords. The related data can be crawled through multiple channels; the data processing mode is more reasonable, moreconvenient and quicker; and the data is compared and processed, so that the untrusted user data quality is higher. Meanwhile, the invention furthermore discloses an untrusted user data processing system and apparatus, and a computer readable storage medium, which have the abovementioned beneficial effects.

Description

technical field [0001] The present application relates to the technical field of network data processing, and in particular to a method, system, device and computer-readable storage medium for processing untrustworthy user data. Background technique [0002] With the vigorous development of the financial industry today, when it comes to finance, risk control is inseparable. Risk control can be said to be the lifeline of financial institutions, especially for Internet finance that pursues inclusiveness and efficiency. In the era of Internet finance, efficiency has indeed been improved, but fraud risk control has become another challenge that financial institutions have to face. It is necessary to examine the credit risk of loan applicants and to prevent fraudulent behavior. Among them, the risk control blacklist (data of untrustworthy users) has become an important part of risk control for many financial institutions. [0003] The use of the blacklist allows financial instit...

AI Technical Summary

Problems solved by technology

[0004] Since the data of these untrustworthy users are currently scattered on the Internet, and each has its own storage form and keyword name, it is impossible to obtain high-quality untrustworthy user data through simple crawling, resulting in a certain amount of wrong content in the query of untrustworthy users Data, the actual use effect is not good

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