User decision behavior quantitative analysis method and device

A quantitative analysis and decision-making technology, applied in the field of big data computing and artificial intelligence, can solve the problems of characterizing users, unable to meet diversified analysis needs, single method, etc., to ensure validity, enrich analysis needs, and ensure interpretability Effect

Active Publication Date: 2020-09-22
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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AI Technical Summary

Problems solved by technology

[0004] Using the existing technology, the analysis of user decision-making behavior by computer is only a simple keyword correspondence and information recommendation, and it cannot quantify the decision-making behavior based on which subjective and objective factors are considered by the user. Quantitative data is used to represent the reasons why users make decisions, and it is impossible to predict whether users will make decisions. Therefore, the existing methods for analyzing user decision-making behaviors are relatively single and cannot meet diverse analysis needs.

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  • User decision behavior quantitative analysis method and device
  • User decision behavior quantitative analysis method and device
  • User decision behavior quantitative analysis method and device

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Embodiment Construction

[0040] figure 1 It is a schematic diagram of the technical scenario applied in this application, where the application is applied in the technical field of quantitative analysis of decisions made by users, specifically, in such as figure 1 In the example shown, the decision made by the user is which merchant to go to as an exemplary illustration. Such as figure 1 As shown, assuming that merchants ①-③ are all restaurants, in one scenario, users can choose to go to merchant ① to eat according to the evaluation of merchant ①, which is better and more popular. In another scenario, users can choose to eat at merchant ① according to Merchant ② is relatively close and chooses to eat at merchant ②. In another scenario, the user may also choose to eat at merchant ③ based on the good service and complete service facilities provided by merchant ③. It can be seen that when users make every decision, they will make a decision based on certain objective conditions and combined with person...

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Abstract

The invention provides a user decision behavior quantitative analysis method and device. The invention relates to the field of big data calculation and artificial intelligence in the computer technology. At least one quantized decision factor related to a target decision made by a user is input into a machine learning model, the decision factors are further analyzed by the machine learning model,and finally, a prediction result of the target decision made by the user is output according to the output of the machine learning model. Therefore, the decision factors of the target decision made bythe user can be analyzed to obtain the prediction result of the making of the target decision, and therefore, analysis requirements on user decision behaviors are enriched.

Description

technical field [0001] The invention relates to the fields of big data calculation and artificial intelligence in computer technology, and in particular to a method and device for quantitative analysis of user decision-making behavior. Background technique [0002] Some research data show that an adult will make 35,000 decisions intentionally or unintentionally in one day. These decisions are usually made based on certain subjective habits of users combined with objective conditions. How to quantitatively analyze user behavior , so that the computer can predict whether the user will make a certain decision based on the quantified subjective and objective conditions, which is a common application scenario in big data technology. Especially for service providers such as merchants, after obtaining data that can quantify how users make decisions, computers can use these data to generate prediction values. Finally, merchants can determine whether users will make decisions based o...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N20/00G06F16/9535G06Q30/06
CPCG06N20/00G06F16/9535G06Q30/0631G06Q30/0202G06N3/08G06N5/01G06N3/045G06N5/045
Inventor 路新江胡仁君熊辉
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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