Data processing method, device, equipment and storage medium

Abstract

Embodiments of the invention disclose a data processing method, a device, equipment and a storage medium. The method comprises the steps of obtaining a first camp in a game client and a service auxiliary parameter corresponding to the first camp; wherein the first camp comprises N to-be-competitive users; wherein N is a positive integer; determining timestamps based on camping to obtain game attribute characteristics of the N to-be-competitive users; when a target network model associated with the game client is obtained, determining a first group competition influence degree corresponding tothe first camp based on the game attribute characteristics of the N to-be-competitive users and the target network model; and when the first camp meets the business deadline condition, determining a second camp corresponding to a second group competition influence degree matched with the first group competition influence degree, and determining the second camp and the first camp as competition object groups corresponding to the game business. By adopting the method of the invention, the prediction efficiency and the prediction accuracy of the competitive influence degree can be improved, and then the camp matching accuracy can be improved.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular to a data processing method, device, equipment and storage medium. Background technique [0002] At present, in the game service (for example, alliance battle service) of the game client, the computer device needs to determine the combat capability of the alliance to be competed through manual experience. It should be understood that the computer equipment needs to screen out some attribute characteristics associated with individual players' combat power based on human experience, such as castle level, dragon vein level, number of net victories, infantry level, etc. It is understandable that when artificial experience screens attribute characteristics, it cannot fully excavate effective attribute characteristics related to individual players' combat capabilities. Furthermore, for each of the selected attribute features, numerical mapping rules constructed by artific...

AI Technical Summary

Problems solved by technology

Among them, each attribute feature needs to manually design a set of numerical mapping rules. The entire design process is time-consuming and labor-intensive. At the same time, it is difficult to guarantee the accuracy of measurement due to manual experience.

It can be seen that the traditional assessment method of alliance combat capability relies heavily on historical experience, and requires manual participation in many steps, which leads to low efficiency in estimating alliance combat capability

In addition, because the artificially constructed numerical mapping rules are immutable, the real-time performance is insufficient, which reduces the prediction accuracy of the alliance's combat capabilities

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