Network information credibility detection method and system, storage medium and terminal

Abstract

The invention belongs to the technical field of information processing, and discloses a network information credibility detection method and system, a storage medium and a terminal. The method includes: calculating an index of recommending a new event to a user; if the index is greater than the system set threshold, performing credibility evaluation, otherwise, returning to calculate the index recommended to the user by the new event to reselect the user; performing credibility evaluation; screening the received events; and carrying out credibility evaluation on the screened events. Through aseries of calculation and operation steps, reliable social events are recommended to the user, and the user can perform event screening according to personal preferences and short-term interest tags of the user. The recommendation accuracy is guaranteed according to multi-angle calculation, the short-term interest label is defined to break through the information cocoon house problem, meanwhile, credible verification is added in the recommendation process and the screening process, the safety of events and users is guaranteed, and the user experience is improved.

Description

technical field [0001] The invention belongs to the technical field of information processing, and in particular relates to a method, a system, a storage medium and a terminal for detecting the credibility of network information. Background technique [0002] At present, with the penetration of advanced computing and communication technologies into all aspects of life, the Internet and social networks have become inseparable from people's life and work, and have become an indispensable part of people's lives. Social networks can maintain individual user relationships, and users can initiate events for other users to participate in, which enriches people's social activities. Social networks provide convenience for users to make friends and participate in events on the Internet. However, with the development of the Internet, the number of users is increasing, and their hobbies are becoming more and more extensive. How to safely and reliably recommend events for users is a soci...

AI Technical Summary

Problems solved by technology

In the existing technology, the method of recommending events for users is not very accurate, and there are security issues such as leakage of user privacy, losses caused by malicious events to users, security of event publishing, and the long-term recommendation of similar information by users. The problem of information cocoons, further leakage of user privacy and increase of malicious events will cause serious damage to the entire system or network environment, and at the same time, the user experience cannot be satisfied

[0003] Through the above analysis, the existing problems and defects of the existing technology are as follows: in the prior art, the recommendation results of the method of recommending events for users are not accurate and there are security problems, and the information cocoon room caused by the long-term recommendation of similar information content by the user problem, the user experience is not well satisfied

[0004] The difficulty of solving the above problems and defects is: the above problems and defects pose a challenge to the existing technology, and the existing similar technologies cannot solve the above problems and defects at the same time, so it is difficult to solve the above problems and defects at the same time

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