Method and apparatus for predicting game revenue using revenue forecasting model

A computing device for predicting game revenue using a revenue forecasting model, comprising:

• a processor including at least one core;
• a memory;
• and
• a network module,
• wherein the processor is configured to:
• receive, for a first game, rank information for each preset period on an application platform and past revenue information for each preset period preceding a first target period;
• create a first input data, by processing the rank information for each preset period up to the first target period and the past revenue information for each preset period preceding the first target period, for the first game;
• generate a first predicted revenue amount for the first target period of the first game by inputting the created first input data into a pre-trained artificial intelligence-based revenue forecasting model;
• create a second input data, by processing the first input data, the rank information for a second target period which is subsequent to the first target period, and the generated first predicted revenue amount, for the first game;
• and
• generate a second predicted revenue amount for a second target period of the first game by inputting the created second input data into the revenue forecasting model.

A non-transitory computer readable storage medium including a computer program, wherein the computer program causes a processor of a computer device to perform a method for predicting game revenue using a revenue forecasting model, the method comprising the steps of:

• receiving, for a first game, rank information for each preset period on an application platform and past revenue information for each preset period preceding a first target period;
• creating a first input data, by processing the rank information for each preset period up to the first target period and the past revenue information for each preset period preceding the first target period, for the first game;
• generating a first predicted revenue amount for the first target period of the first game by inputting the created first input data into a pre-trained artificial intelligence-based revenue forecasting model;
• creating a second input data, by processing the first input data, the rank information for a second target period which is subsequent to the first target period, and the generated first predicted revenue amount, for the first game;
• and
• generating a second predicted revenue amount for the second target period of the first game by inputting the created second input data into the revenue forecasting model.