Method of determining suggestion model, method of determining price of item, device, and medium

Abstract

The present disclosure provides a method of determining a suggestion model, and a method of determining a price of an item, which may be applied to a field of big data and a field of intelligent recommendation. A specific implementation includes: acquiring a plurality of sample data containing a historical sales volume of an item; determining a predicted demand value for each sample data of the plurality of sample data; determining, based on the predicted demand value for the each sample data, a relationship between a suggested price and a target parameter by using a suggestion model containing the target parameter, so as to obtain a plurality of relationships for the plurality of sample data; and determining, based on the plurality of relationships, a value of the target parameter by using a preset loss model, so as to obtain the suggestion model.

Dependencies are inferred from the claim text.