TRAINING DATA GENERATING SYSTEM, TRAINING DATA GENERATING METHOD, AND INFORMATION STORAGE MEDIUM

1 . A training data generating system comprising at least one processor configured to:

cluster a plurality of classification objects;

present content of some of the classification objects belonging to a cluster to an analyst;

assign a label specified by the analyst to the cluster; and

generate training data to be learned by a learning model based on the label.

2 . The training data generating system according to claim 1 , wherein

the at least one processor:

presents the content of some of the classification objects belonging to the cluster specified by the analyst among a plurality of clusters; and

assigns the label to the cluster specified by the analyst.

3 . The training data generating system according to claim 1 , wherein

the at least one processor:

presents the content of the classification object specified by the analyst among the plurality of classification objects; and

assigns the label to a cluster to which the classification object specified by the analyst belongs.

4 . The training data generating system according to claim 1 , wherein

if the analyst assigns a same label to one cluster and another cluster, the at least one processor assigns the same label to the one cluster and the another cluster.

5 . The training data generating system according to claim 1 , wherein

the at least one processor:

assigns a second label, which is different from the label, to each of the classification objects; and

selects a cluster based on the second label specified by the analyst and presents some of the classification objects belonging to the selected cluster.

6 . The training data generating system according to claim 1 , wherein

the at least one processor:

assigns the second label, which is different from the label, to each of the classification objects; and

presents the second label assigned to some of the classification objects to the analyst.

7 . The training data generating system according to claim 6 , wherein

the at least one processor changes the second label assigned to some of the classification objects based on an operation of the analyst.

8 . The training data generating system according to claim 5 , wherein

the at least one processor:

assigns the second label to each of the classification objects based on a predetermined condition; and

generates second training data to be learned by a second learning model based on the second label assigned to each of the classification objects.

9 . The training data generating system according to claim 1 , wherein

the classification object is a behavior history performed in a past by a user; and

the label indicates whether a specific behavior is performed.

10 . The training data generating system according to claim 9 , wherein

the behavior history includes at least one of a screen transition by the user or a history of input by the user, and

the specific behavior is repeating at least one of the screen transition or the input without reaching a predetermined screen.

11 . A training data generating method, comprising:

clustering a plurality of classification objects;

presenting content of some of the classification objects belonging to a cluster to an analyst;

assigning a label specified by the analyst to the cluster; and

generating training data to be learned by a learning model based on the label.

12 . A non-transitory information storage medium storing a program that causes a computer to:

cluster a plurality of classification objects;

present content of some of the classification objects belonging to a cluster to an analyst;

assign a label specified by the analyst to the cluster; and

generate training data to be learned by a learning model based on the label.