Consumer behavior analysis model based on machine learning

2020 ◽  
pp. 1-11
Author(s):  
Zhou Li
Keyword(s):  
Inventory Management ◽  
Web Search ◽  
Inventory Model ◽  
Analysis Model ◽  
Online Search ◽  
Consumer Behavior Analysis ◽  
Model Based ◽  
General Search ◽  
Demand Information ◽  
The Relationship

The accurate mastery of demand information enables retailers to better respond to consumers and effectively manage inventory. However, the precise connection and interaction between this information collection and inventory management is more difficult to measure. In view of this, this paper proposes a research on inventory model based on consumer web search. Moreover, centering on the two main actors in the online search environment, consumers and retailers, this paper fully considers their characteristics and situations to construct an inventory model in the online search environment, and analyzes the ordering strategy. Moreover, based on the digital traces left by consumers in the decision-making process, this paper uses general search indicators and specific search indicators to measure consumer web search to explore the relationship between consumer web search indicators and the demand conversion rate proposed in the model. Moreover, this paper analyzes the model with examples. The research results are in line with model construction expectations.

scholarly journals An Inventory Model based on Manufacturer-Direct Business Model with the help of E-Commerce Trading Strategies

2019 ◽  
Vol 8 (6S4) ◽  
pp. 507-512
Keyword(s):  
Inventory Management ◽  
Business Model ◽  
Customer Relations ◽  
Inventory Model ◽  
Trading Strategies ◽  
Waste Generation ◽  
Model Based ◽  
Operation Costs ◽  
Proposed Model ◽  
Production And Operation

The significance of inventory management partake in the rapid growth and development of all organizations. Inventories impacts sales and revenues, customer relations, production and operation costs etc. On the other hand, online shopping became a trendy choice among the web-users, they can buy any product either through online market places or over web stores. The main intention of this paper is to develop an inventory model based on 'Manufacturer-direct' business model with the help of e-commerce trading strategies. Also this proposed model considered the process of recycling and disposal of deteriorating items over 3R approach . In order to maximize the profits and to minimize the waste generation, this model provides optimum values. Numerical examples are illustrated to validate the model.

scholarly journals An Inventory Model based on Manufacturer-Direct Business Model with the help of E-Commerce Trading

2019 ◽  
Vol 8 (6S4) ◽  
pp. 1487-1492
Keyword(s):  
Inventory Management ◽  
Business Model ◽  
Customer Relations ◽  
Inventory Model ◽  
Trading Strategies ◽  
Waste Generation ◽  
Model Based ◽  
Operation Costs ◽  
Proposed Model ◽  
Production And Operation

The significance of inventory management partake in the rapid growth and development of all organizations. Inventories impacts sales and revenues, customer relations, production and operation costs etc. On the other hand, online shopping became a trendy choice among the web-users, they can buy any product either through online market places or over web stores. The main intention of this paper is to develop an inventory model based on 'Manufacturer-direct' business model with the help of e-commerce trading strategies. Also this proposed model considered the process of recycling and disposal of deteriorating items over 3R approach . In order to maximize the profits and to minimize the waste generation, this model provides optimum values. Numerical examples are illustrated to validate the model.

scholarly journals Influential Path of Social Risk Factors toward Suicidal Behavior—Evidence from Chinese Sina Weibo Users 2013–2018

2021 ◽  
Vol 18 (5) ◽  
pp. 2604
Author(s):  
Yujin Han ◽  
He Li ◽  
Yunyu Xiao ◽  
Ang Li ◽  
Tingshao Zhu
Keyword(s):  
Risk Factors ◽  
Path Analysis ◽  
Suicide Prevention ◽  
Suicidal Behavior ◽  
Empirical Support ◽  
National Bureau ◽  
Social Risk ◽  
Analysis Model ◽  
The Relationship ◽  
Path Analysis Model

(1) Purpose: The purpose of this study was to determine suicidal risk factors, the relationship and the underlying mechanism between social variables and suicidal behavior. We hope to provide empirical support for the future suicide prevention of social media users at the social level. (2) Methods: The path analysis model with psychache as the mediate variable was constructed to analyze the relationship between suicidal behavior and selected social macro variables. The data for our research was taken from the Chinese Suicide Dictionary, Moral Foundation Dictionary, Cultural Value Dictionary and National Bureau of Statistics. (3) Results: The path analysis model was an adequate representation of the data. With the mediator psychache, higher authority vice, individualism, and disposable income of residents significantly predicted less suicidal behavior. Purity vice, collectivism, and proportion of the primary industry had positive significant effect on suicidal behavior via the mediator psychache. The coefficients of harm vice, fairness vice, ingroup vice, public transport and car for every 10,000 people, urban population density, gross domestic product (GDP), urban registered unemployment rate, and crude divorce rate were not significant. Furthermore, we applied the model to three major economic development belts in China. The model’s result meant different economic zones had no influence on the model designed in our study. (4) Conclusions: Our evidence informs population-based suicide prevention policymakers that incorporating some social factors like authority vice, individualism, etc. can help prevent suicidal ideation in China.

A new underwater positioning model based on average sound speed

2021 ◽  
pp. 1-17
Author(s):  
Yixu Liu ◽  
Xiushan Lu ◽  
Shuqiang Xue ◽  
Shengli Wang
Keyword(s):  
Efficient Algorithm ◽  
Sound Speed ◽  
Incident Angle ◽  
Function Model ◽  
Positioning Accuracy ◽  
Correction Model ◽  
Model Based ◽  
Underwater Positioning ◽  
Speed Function ◽  
The Relationship

Abstract The layout of seafloor datum points is the key to constructing the seafloor geodetic datum network, and a reliable underwater positioning model is the prerequisite for achieving precise deployment of the datum points. The traditional average sound speed positioning model is generally adopted in underwater positioning due to its simple and efficient algorithm, but it is sensitive to incident angle related errors, which lead to unreliable positioning results. Based on the relationship between incident angle and sound speed, the sound speed function model considering the incident angle has been established. Results show that the accuracy of positioning is easily affected by errors related to the incident angle; the new average sound speed correction model based on the incident angle proposed in this paper is used to significantly improve the underwater positioning accuracy.

scholarly journals Google search behavior for meningitis and its vaccines: an infodemiological study

BMC Neurology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
John Angelo Luigi S. Perez ◽  
Adrian I. Espiritu ◽  
Roland Dominic G. Jamora
Keyword(s):  
Influenza Vaccine ◽  
Pneumococcal Vaccine ◽  
Rank Correlation ◽  
Infectious Agents ◽  
Online Behavior ◽  
Online Search ◽  
Search Volume ◽  
Search Patterns ◽  
Google Search ◽  
The Relationship

Abstract Background The internet has made significant contributions towards health education. Analyzing the pattern of online behavior regarding meningitis and vaccinations may be worthwhile. It is hypothesized that the online search patterns in meningitis are correlated with its number of cases and the search patterns of its related vaccines. Methods This was an infodemiological study that determined the relationship among online search interest in meningitis, its worldwide number of cases and its associated vaccines. Using Google Trends™ Search Volume Indices (SVIs), we evaluated the search queries “meningitis,” “pneumococcal vaccine,” “BCG vaccine,” “meningococcal vaccine” and “influenza vaccine” in January 2021, covering January 2008 to December 2020. Spearman rank correlation was used to determine correlations between these queries. Results The worldwide search interest in meningitis from 2008 to 2020 showed an average SVI of 46 ± 8.8. The most searched topics were symptoms, vaccines, and infectious agents with SVIs of 100, 52, and 39, respectively. The top three countries with the highest search interest were Ghana, Kazakhstan, and Kenya. There were weak, but statistically significant correlations between meningitis and the BCG (ρ = 0.369, p < 0.001) and meningococcal (ρ = 0.183, p < 0.05) vaccines. There were no statistically significant associations between the number of cases, influenza vaccine, and pneumococcal vaccine. Conclusion The relationships among the Google SVIs for meningitis and its related vaccines and number of cases data were inconsistent and remained unclear. Future infodemiological studies may expand their scopes to social media, semantics, and big data for more robust conclusions.

Regional effect of monetary policy based on GVAR model and machine learning

2020 ◽  
pp. 1-13
Author(s):  
Zengming Zhao ◽  
Wenting Chen
Keyword(s):  
Machine Learning ◽  
Growth Rate ◽  
Monetary Policy ◽  
Stress Test ◽  
Analysis Model ◽  
Conduction Model ◽  
Regional Effect ◽  
Macroeconomic Factors ◽  
Model Based ◽  
Gray Correlation

Monetary policy is an important means for a country to regulate macroeconomic operations and achieve established economic goals. Moreover, a reasonable monetary policy improves the efficiency of financial operations on a global scale and effectively resolves the financial crisis. At present, scholars from various countries have begun to pay attention to the issue of differentiated formulation of monetary policy among regions. This paper combines machine learning to construct a monetary policy differentiation effect analysis model based on the GVAR model. Moreover, this paper uses the gray correlation analysis method to obtain the gray correlation matrix between industries, and then introduces the industry’s own characteristics, industry relevance and macroeconomic factors into the macro stress test of credit risk. In addition, this paper constructs a conduction model based on the industry GVAR model, and uses the first-order difference sequence of GDP growth rate, CPI growth rate and M2 growth rate of each economic region to construct a GVAR model to test the impulse response function. The results of the test show that the monetary policy shocks of various economic regions are significantly different. All in all, the research results show that the performance of the model constructed in this paper is good.

Research on Related Model for Urban Public Crisis Handle Mechanism

2014 ◽  
Vol 989-994 ◽  
pp. 5540-5543
Author(s):  
Yong Chang Ren
Keyword(s):  
Crisis Management ◽  
Evaluation Model ◽  
Point Of View ◽  
Theoretical Point ◽  
Analysis Model ◽  
The Public ◽  
Public Crisis ◽  
Crisis Events ◽  
Response And Recovery ◽  
The Relationship

China is in a critical period of urbanization, and various social contradictions continue to be accumulated, emerged and enlarged, so public crisis management mechanism has been highly valued by governments at all levels with the public crisis events are occurred frequently. The paper conducts study for the problems in the current urban public crisis handle mechanism. First, the evaluation model of crisis management can be researched, and crisis management can be divided into four stages to evaluate respectively, they are Reduction, Readiness, Response and Recovery; then, we should research crisis prediction model to strengthen prediction, prevention and monitoring of the crisis before the crisis happened; finally, stakeholders analysis model should be studied, and scientific analyzing the interests of the various stakeholders and the relationship among them. From the theoretical point of view, the paper carries on a study for crisis handle mechanism to provide support for improving the crisis handle level.

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