Data processing method, device and terminal

Abstract

A method, device and terminal for data processing are described. The method includes receiving a data exchange request, acquiring a responding user data queue corresponding to a requesting user according to a user correlation relationship, sorting and marking the responding user data queue with responding user information; converting the responding user data queue into a requesting user data queue, sorting and marking the requesting user data queue with requesting user information; and transmitting the requesting user data queue to a user terminal.

Description

technical field [0001] The invention relates to Internet data interaction processing technology, in particular to a data processing method, device and terminal. Background technique [0002] With the popularization of Internet technology, the way for people to obtain effective data has shifted from traditional media such as newspapers and periodicals to Internet media. There is a huge amount of data in the Internet, and users can directly obtain a large amount of data from the Internet according to their own needs. , and data can also be obtained through data sharing. After the rise of Internet technology, a large number of social application tools have emerged. These social application tools are designed to facilitate data sharing among users. Although they provide a variety of data sharing channels, there are also problems, such as whether data sharing can Obtain more data, but it is unknown which valid data the user needs; data sharing exists based on data interaction, a...

AI Technical Summary

Problems solved by technology

The problem with this solution is that the data format with the upper limit of the data volume cannot fully express all the data, because it will not be supported if the upper limit of the data volume is exceeded. Therefore, this processing scheme is only for partial data and cannot be used for all The full amount of data, although the amount of data is small, the problem of system resource occupation and network overhead increase has been alleviated, but because it is not for the full amount of data, the analysis is not accurate, and the probability of obtaining valid data from the full amount of data will be greatly reduced.

The problem with this solution is that although there is no upper limit on the amount of data, all the data can be fully expressed for the full amount of data, and the analysis of the full amount of data is accurate, and the probability of obtaining valid data is greatly improved. However, the full amount of data can be obtained during interaction. Due to the huge amount of data, it is impossible to alleviate the problem of system resource occupation and network overhead increase

[0006] To sum up, no matter which existing solution is adopted, it is impossible to satisfy the data validity and alleviate the problem of system resource occupation and network overhead increase

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