Relational risk evaluation method and device, electronic equipment and computer storage medium

Abstract

The embodiment of the invention discloses a relation risk evaluation method and device, electronic equipment and a computer storage medium, and the method comprises the steps: responding to the generation of a relation behavior of a related party, obtaining the relation risk evaluation data of the related party; performing relation risk evaluation on the related party according to the relation risk evaluation data to obtain a related party relation risk evaluation score; and determining a relationship risk evaluation result of the related party according to the related party relationship riskevaluation score. According to the technical scheme, in the process that a user generates a relationship behavior with others; the risk can be accurately and timely identified, the risk identificationcapability of the user is improved, the capital and privacy of the user are protected against infringement, meanwhile, disturbance to normal users can be reduced, the use experience of the user is improved, and in addition, due to the fact that the technical scheme has universality for risk identification, the technical scheme has the advantages of being high in coverage rate, high in accuracy and high in flexibility.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of data processing, and specifically relate to a relationship risk assessment method, device, electronic equipment, and computer storage medium. Background technique [0002] With the development of data and communication technology, many social applications have emerged as the times require. Social applications can provide users with various services such as communication, transfer, payment, file transfer, and information dissemination, providing users with great benefits in their work and life. convenience and are therefore widely used. But at the same time, many criminals also take advantage of the popularity of social applications to distribute advertisements, pornography, harassment and other harmful content to other people, or impersonate their friends, relatives, leaders, colleagues, and classmates to commit fraud, which seriously affects the user experience. Cause loss of u...

AI Technical Summary

Problems solved by technology

Although the above-mentioned processing method can restrain the relationship behavior to a certain extent, it still has insurmountable shortcomings. For example, for blacklist rules, due to the limited magnitude of the blacklist, for black users who have not been complained or newly added black users It is difficult to identify, so the coverage rate is low, and the accuracy rate of some historical blacklists is low, and there are cases of fa

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