公开(公告)号：US20210192378A1

公开(公告)日：2021-06-24

申请号：US17128904

申请日：2020-12-21

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Xinjiang LU ,  Renjun HU ,  Hui XIONG

IPC: G06N5/04 ,  G06N20/00

Abstract: The present application proposes a quantitative analysis method for a user decision-making behavior and an apparatus, which relate to the fields of big data calculation and artificial intelligence in computer technology. At least one quantified decision factor related to making a target decision by a user is inputted into a machine learning model; the machine learning model further analyzes the decision factor; and finally a prediction result of making the target decision by the user is determined according to an output of the machine learning model. Therefore, it is possible to analyze the decision factor for making the target decision by the user to obtain the prediction result of making the target decision, thus enriching analysis needs for the user decision-making behavior.