Model generation system

A model generation system configured to generate a recommendation condition derivation model that derives recommendation conditions including at least attribute information of a target user to whom recommendation information relating to a moving route is provided and information indicating the moving route, the system comprising:

• a recommendation condition candidate generation unit configured to acquire a plurality of recommendation condition candidates with the information indicating the moving route as a constraint condition;
• a user movement estimation unit configured to acquire user movement estimation information by estimating movements of users on the basis of transition of positions of the users indicated by movement demand information and each of the recommendation condition candidates,
• the movement demand information being information that is generated on the basis of user position information including the positions through which the users have passed and passing times at which the users have passed through the positions and that indicates transition of the positions through which each user has passed,
• the movements of the users in the user movement estimation information being changed from movements indicated by the transition of the user positions on the basis of recommendation response estimation information, and
• the recommendation response estimation information being information that indicates whether or not the users will move along the moving route indicated in the recommendation information in a case in which the users are provided with the recommendation information indicated in the recommendation condition candidates and is acquired on the basis of the recommendation response model that outputs the recommendation response estimation information with at least the user position information including the positions through which the users have passed and the passing times and the recommendation conditions as input;
• a recommendation condition extraction unit configured to extract, as an optimum recommendation condition, the recommendation condition candidate with the largest degree of achievement for a given target value relating to the movements of the users on the basis of the user movement estimation information for each of the recommendation condition candidates;
• and
• a recommendation condition derivation model training unit configured to perform machine learning of the recommendation condition derivation model using training data in which target information relating to the movements of the users including the target value, attribute information of each user, and the user position information are explanatory variables, and the optimum recommendation condition is an objective variable.