公开(公告)号：US20200020014A1

公开(公告)日：2020-01-16

申请号：US16579181

申请日：2019-09-23

Applicant: LG ELECTRONICS INC.

Inventor： Moon Sub Jin ,  Ki Young Kwak ,  Mi Sook Kim ,  Hwa Jun Oh

IPC: G06Q30/06 ,  G06N20/00 ,  G06Q30/02

Abstract: Disclosed is a trained model generating method and apparatus that assesses an acquisition price of a subscription product by executing an artificial intelligence (AI) algorithm or a machine learning algorithm in a 5G environment connected for the Internet of Things, and that reinforces a trained model by reflecting, as a reward, a result of suggesting to a user to acquire the product. A product price assessing method according to one embodiment of the present disclosure may include: applying at least one of user information, product information, or environment information, or preprocessed data thereof to a machine learning-based first trained model; and assessing a product price of a product related to the product information based on the first trained model. Reinforcement learning may be conducted to the first trained model by reflecting, as a reward, whether the user determines to acquire the product at the assessed product price.