Abstract: An information processing apparatus includes: a first acquisition unit that acquires odor data obtained by measuring the odor of an object; a second acquisition unit that acquires an acquisition condition for the odor data; and an identification unit that identifies the object from the odor data and the acquisition condition acquired by the first and second acquisition units on the basis of a learned model obtained by performing learning on the odor data of the object and the acquisition condition, and on the object corresponding to the odor data. The acquisition condition can be text data that indicates the category of the odor and is inputted by a user who has measured the odor.

Abstract: An information processing apparatus is provided. The information processing apparatus comprises a generation unit, an acquisition unit, a learning unit, and a determination unit. The generation unit is configured to generate a template that allows input of evaluation for each index according to specified number of index. The acquisition unit is configured to acquire evaluation input to the template and odor information corresponding to the evaluation. The odor information is a detection result detected by an odor sensor. The learning unit is configured to perform machine learning using a set of the evaluation and the odor information as teaching data. The determination unit is configured to determine odor information of a determination target for each index based on a result of the machine learning.

Abstract: An information processing apparatus includes: a first acquisition unit that acquires odor data obtained by measuring the odor of an object; a second acquisition unit that acquires an acquisition condition for the odor data; and an identification unit that identifies the object from the odor data and the acquisition condition acquired by the first and second acquisition units on the basis of a learned model obtained by performing learning on the odor data of the object and the acquisition condition, and on the object corresponding to the odor data. The acquisition condition can be text data that indicates the category of the odor and is inputted by a user who has measured the odor.