Information processing apparatus, information processing method, and non-transitory computer readable medium

An information processing method for training an attribute prediction model for predicting, from an image containing a product, N (N is an integer of 2 or more) attributes of the product, the method performed by at least one processor and comprising:

• training an i-th (i is an integer of 1 to N−1) learning model for predicting an i-th attribute of the product, using i-th training data corresponding to the i-th attribute;
• and
• training the attribute prediction model using the i-th learning model, part of the i-th training data, and N-th training data corresponding to an N-th attribute of the product.

A non-transitory computer readable medium storing an information processing program for training an attribute prediction model for predicting, from an image containing a product, N (N is an integer of 2 or more) attributes of the product, the program causing a computer to execute the steps of:

• training an i-th (i is an integer of 1 to N−1) learning model for predicting an i-th attribute of the product, using i-th training data corresponding to the i-th attribute;
• and
• training the attribute prediction model using the i-th learning model, part of the i-th training data, and N-th training data corresponding to an N-th attribute of the product.