The Recommending Agricultural Product Sales Promotion Mode in E-Commerce Using Reinforcement Learning with Contextual Multiarmed Bandit Algorithms

Hsu, G. J. Y.; Tseng, Wei-Kuo; Hsieh, Jia-You; Chang, Chao-Jen; Chen, Huan

doi:10.1155/2020/8836000

Cited by 13 publications

(9 citation statements)

References 13 publications

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“…"New ecommerce is just a dream, traditional e-commerce is the mainstream." Almost all public opinions are not optimistic about this new continent [7].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Consumer Recommendation Behavior and Market Equilibrium in E-Commerce from the Perspective of Social Media

Jiang

Chen

2023

Advances in Multimedia

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Under the strategic goal of building a domestic economic cycle, the development quality of social e-commerce in my country needs to be improved urgently. The main reason for the low quality of social e-commerce development in my country is that the natural advantages of social e-commerce, such as high-efficiency dissemination of information and increased consumer utility due to improper sales model design, cannot play a role. However, the lack of research on social e-commerce systems makes it difficult for retailers to obtain effective theoretical guidance for their sales model design. Based on this, this paper takes the three most important and important social e-commerce sales models in my country at present—recommended reward model, online group purchase model, and online crowdfunding model as the research objects, and systematically analyzes the consumer recommendation behaviors in the three sales models. By analyzing and market equilibrium, while improving the theoretical research of social e-commerce, it also provides theoretical basis and policy guidance for the optimal mode design of social e-commerce under different sales modes. This paper considers the consumer recommendation behavior in social networks and analyzes the main characteristics of the three sales models in view of the development status and specific problems of social e-commerce in my country, and then constructs retailer-existing consumer-potential The three-agent dynamic Stackelberg game model of consumers analyzes the influence mechanism and market equilibrium of consumer recommendation behavior under three sales models.

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“…"New ecommerce is just a dream, traditional e-commerce is the mainstream." Almost all public opinions are not optimistic about this new continent [7].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Consumer Recommendation Behavior and Market Equilibrium in E-Commerce from the Perspective of Social Media

Jiang

Chen

2023

Advances in Multimedia

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“…Model evaluation needs to determine the accuracy and effectiveness of the model. The final evaluation is a useful model, especially the data visualization analysis technology can be applied to show the whole process of data mining [ 20 ]. A time series is a sequence arranged in chronological order, usually used to mark the value of a continuous point in time with uniform time interval.…”

Section: Methodsmentioning

confidence: 99%

Precise Marketing of E-Commerce Products Based on KNN Algorithm

Zou

2022

Computational Intelligence and Neuroscience

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In order to better understand the purchase decision-making process of consumers, this paper makes an in-depth study on the precision marketing of e-commerce products on the basis of KNN algorithm. Through data mining, classic KNN algorithm, BPNN algorithm, and other methods, this paper takes the price and purchase intention of e-commerce agricultural products as an example. Based on the classic nearest neighbor algorithm, binomial function is combined with Euclidean distance formula when calculating the nearest neighbor through similarity. The particle swarm optimization algorithm is used to optimize the binomial function coefficient and the K value of the nearest neighbor algorithm, and the results of the best prediction model for the prediction application of e-commerce agricultural product price and purchase intention are established. Both pricing strategies and promotion strategies will weaken the compromise effect of consumers when they choose e-commerce agricultural products. After studying the calculation method of the KNN algorithm, it not only correctly predicts the price of e-commerce agricultural products but also makes a corresponding prediction and analysis of consumers’ purchase intention of e-commerce agricultural products, with the highest accuracy of 94.2%. At the same time, in the future precision marketing process, e-commerce agricultural products enterprises use data technology to achieve precision marketing, which effectively changes the shortcomings of traditional marketing and improves the product marketing effect and economic benefits.

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“…With the increasingly prominent environmental issues, people are also paying more and more attention to environmental protection and maintaining ecological balance [11]. Certification and accreditation is an important task for the country to ensure product quality, protect consumer rights, and promote economic growth [12]. There are numerous GPs in the market, such as green food, energy-saving appliances, green clothing, green daily chemical products, etc.…”

Section: Gp Authentication and Consumer Trust Mechanismmentioning

confidence: 99%

Green Product Certification and Consumer Trust Mechanism in the E-Business Environment

Lin,

Wei

2024

Proceedings of the 4th International Conference on Informatization Economic Development and Management, IEDM 2024, February 23–

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Green consumption, as a significant part of "new consumption", advocates healthy, reasonable, and green organic consumption methods, gradually becoming a consumption concept accepted by people. When the quality information of consumers purchasing green products (GP) is incomplete, the certification signal transmission of GP quality by the seller can offset the negative impact of information asymmetry, reduce the perceived risk of consumers, and promote better matching between consumers and products. The effectiveness and evaluation of GP certification are important measures to improve the quality of GP certification work and enhance the credibility of GP certification. This article constructs an interactive model between GP authentication and consumer trust mechanism in the e-business environment. This model takes GP authentication as an input variable, which affects consumer cognition and evaluation, thereby influencing consumer trust as an output variable. The experimental results indicate that GP authentication has a positive impact on consumer trust mechanisms. For e-business platforms and merchants, actively promoting GP certification not only helps to enhance consumer trust, but also promotes sales, enhances brand influence, and reduces return costs.

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The Recommending Agricultural Product Sales Promotion Mode in E-Commerce Using Reinforcement Learning with Contextual Multiarmed Bandit Algorithms

Cited by 13 publications

References 13 publications

Analysis of Consumer Recommendation Behavior and Market Equilibrium in E-Commerce from the Perspective of Social Media

Analysis of Consumer Recommendation Behavior and Market Equilibrium in E-Commerce from the Perspective of Social Media

Precise Marketing of E-Commerce Products Based on KNN Algorithm

Green Product Certification and Consumer Trust Mechanism in the E-Business Environment

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