Information processing apparatus, and information processing method
AssigneeNEC Corporation
InventorsYou IWAKAMI, Izumi KUWATA, Mizuki IJIMA, Riki ETO
Life of this patent
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Abstract
An information processing apparatus includes an acquisition unit that acquires feature values related to a target product and similar product information related to a product similar to the target product, a first prediction unit that calculates, by using a plurality of prediction models, a prediction value for each prediction model from the feature values, a selection unit that selects a metamodel related to the similar product information, and a second prediction unit that performs, by using the selected metamodel, prediction related to the target product from the prediction values calculated by the prediction models.
Claims8
An information processing apparatus comprising:
- at least one memory storing instructions;
- and
- at least one processor configured to execute the instructions to:
- acquire a plurality of feature values related to a target product and similar product information related to a product similar to the target product;
- calculate a prediction value for each prediction model from the plurality of feature values, using a plurality of prediction models;
- select a metamodel related to the similar product information from a plurality of trained metamodels trained for each product group;
- and
- perform prediction related to the target product from the prediction values calculated by the plurality of prediction models, using the selected metamodel.
An information processing apparatus comprising:
- at least one memory storing instructions;
- and
- at least one processor configured to execute the instructions to:
- acquire a plurality of feature values related to one or a plurality of products;
- train each of a plurality of prediction models for each of a plurality of feature value groups selected from the plurality of feature values, each of a plurality of feature value groups including one or a plurality of feature values;
- and
- train metamodels related to product groups each including one or a plurality of products, the metamodels performing prediction related to a target product with reference to output of the plurality of prediction models, the plurality of prediction models being related to a plurality of feature value groups selected from a plurality of feature values related to the one or plurality of products included in the product group.
An information processing method comprising:
- by at least one processor,
- acquiring a plurality of feature values related to a target product and similar product information related to a product similar to the target product;
- calculating a prediction value for each prediction model from the plurality of feature values, using a plurality of prediction models;
- selecting a metamodel related to the similar product information from a plurality of trained metamodels trained for each product group;
- and
- performing prediction related to the target product from the prediction values calculated by the plurality of prediction models, using the selected metamodel.
Dependencies are inferred from the claim text.