Object distribution configuration method and device, storage medium and electronic equipment

Abstract

The invention provides an object distribution configuration method and device, a storage medium and electronic equipment. The object distribution configuration method comprises the steps: presetting an experiment rule; obtaining a target object, and determining an object parameter of the target object; determining an effective experiment rule corresponding to the target object in the experiment rules; and determining a first actual quantity ratio allocated to different models, determining the model with the least current proportion according to the first actual quantity ratio and a first standard quantity ratio of the effective experiment rule, and distributing and configuring the target object to the model with the least current proportion. According to the object distribution configuration method and device, the storage medium and the electronic equipment provided by the embodiment of the invention, the objects are distributed based on the experimental rules, and the configuration objects can be distributed in real time, and the real-time performance is good, and the experimental range is relatively large; and object distribution is configured to the model with the minimum current proportion, and objects can be uniformly distributed to different models, and uniform distribution is achieved, and local and overall distribution can gradually reach the optimal state.

Description

technical field [0001] The present invention relates to the technical field of object processing, in particular to a method, device, storage medium and electronic equipment for distributing and configuring objects. Background technique [0002] At present, when it is necessary to price or adjust the price of a used car, the price of the used car can be determined manually, or it can be priced or adjusted based on the car sales model. In order to optimize the pricing or price adjustment results of the car sales model, the traditional scheme generally selects some vehicles from some cities at regular intervals, uses half of the vehicles as model cars, and determines the price of the model cars based on the car sales model, while the other half is used as a control car, using manual The intervention method determines the price of the control car; the optimization of the car sales model is realized by comparing the price difference between the model car and the control car. [...

AI Technical Summary

Problems solved by technology

[0003] The traditional scheme can only select some vehicles, and the experimental scope is small; the method of regularly selecting vehicles and comparing them has poor real-time performance; the simple "half split" method will encounter situations that cannot be equally divided, and the sample data is relatively simple , unable to adapt to further needs

Images