Training method of model, game confrontation player matching method, medium and device
AssigneeBeijing Zitiao Network Technology Co., Ltd.
InventorHanye Li
Life of this patent
Estimating the term…
Abstract
The present disclosure relates to a training method of a model, a game confrontation player matching method, a medium, and a device. The training method of the advantage prediction model includes: acquiring an advantage value of each confrontation among a plurality of confrontations within a preset historical period and historical confrontation positive performance sample data of both game players before each confrontation; and training a first preset initial model by taking the advantage value of each confrontation among the plurality of confrontations and the historical confrontation positive performance sample data of both game players before each confrontation as first training data, so as to obtain the advantage prediction model.
Claims20
A method of improving online gaming, comprising:
- acquiring an advantage value of each confrontation among a plurality of confrontations between two users within a preset historical period and historical confrontation positive performance sample data of both users before each confrontation;
- training a first preset initial model using the advantage value of each confrontation among the plurality of confrontations and the historical confrontation positive performance sample data of both users before each confrontation as first training data, so as to obtain a trained advantage prediction model;
- and
- during the online gaming, applying the trained advantage prediction model to determine a first user associated with a new confrontation in response to a request from a second user associated with the new confrontation, wherein the trained advantage prediction model is configured to determine an advantage value of the second user over the first user.
A device comprising:
- at least one processor;
- and
- at least one memory comprising computer-readable instructions that upon execution by the at least one processor cause the at least one processor to perform operations comprising:
- acquiring an advantage value of each confrontation among a plurality of confrontations between two users within a preset historical period and historical confrontation positive performance sample data of both users before each confrontation;
- training a first preset initial model using the advantage value of each confrontation among the plurality of confrontations and the historical confrontation positive performance sample data of both users before each confrontation as first training data, so as to obtain a trained advantage prediction model;
- and
- during online gaming, applying the trained advantage prediction model to determine a first user associated with a new confrontation in response to a request from a second user associated with the new confrontation, wherein the trained advantage prediction model is configured to determine an advantage value of the second user over the first user.
Dependencies are inferred from the claim text.