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Dynamic Pricing in Electronic Commerce Using Neural Network [chapter]

Tapu Kumar Ghose, Thomas T. Tran
2009 Lecture Notes in Business Information Processing  
"Dynamic Pricing for Electronic Commerce using Neural Network", Proc. 4' International MCETECH Conference on e- Technologies, Ottawa, ON, Canada, May 2009.  ...  [9] used machine learning based approach to study price dynamics in an electronic retail market.  ... 
doi:10.1007/978-3-642-01187-0_18 fatcat:3gfgqaidt5cozpkxbhymlkkeoa

Short Term Price Forecasting Of A Product In The Field Of E-Commerce Using Artificial Neural Network Approach

A. M. Chandrashekhar, H. P. Shivaraj, M. S. Jeevitesh
2016 Zenodo  
In this paper we have used the artificial neural network concepts and machine learning for developing this automated system.  ...  E commerce is an evolving business and now there are around thousands of products in a single website.  ...  However, not many works have been dedicated to exploring the problem in relation to electronic environment, where the process of forming prices occurs dynamically.  ... 
doi:10.5281/zenodo.61832 fatcat:lw3likskrbdknohb4bwd3nnepi

Implementing E-Commerce model for Agricultural Produce: A Research Roadmap

Tumpa Banerjee, Monalisa Mishra, Narayan C. Debnath, Prasenjit Choudhury
2019 Periodicals of Engineering and Natural Sciences (PEN)  
In this paper, several research challenges on dynamic pricing approach of E-Commerce have been summarized.  ...  The advancement in technology and the increase in usage of Internet access has revolutionized the landscape of agriculture using E-Commerce.  ...  Kavyashri and Nitin in 2016 considered a neural network model for dynamically adjusting prices of the product [16] [17] . Neural network processes the information just like a human brain.  ... 
doi:10.21533/pen.v7i1.353 fatcat:7xwhkxuw5fesjhcplw5wdbtsoq

Data Marketing Optimization Method Combining Deep Neural Network and Evolutionary Algorithm

Wei Wang, Deepak Kumar Jain
2022 Wireless Communications and Mobile Computing  
of evolutionary neural networks and used them as tools for model solving, with the objectives of attracting potential consumers, improving consumer satisfaction, and maximizing revenue.  ...  e-commerce enterprises to formulate accurate personalized promotion and pricing strategies to maximize their profits.  ...  by using electronic product data of Amazon website.  ... 
doi:10.1155/2022/1646268 fatcat:hvgxhk5zbrc4hap45py7c4m6gi

E-Commerce Credit Risk Assessment Based on Fuzzy Neural Network

Lina Wang, Hui Song, Akshi Kumar
2022 Computational Intelligence and Neuroscience  
In this paper, we propose a cooperative strategy-based self-organization mechanism to reconstruct the network.  ...  electronic device.  ...  network through research and use it in e-commerce credit risk assessment [2] .  ... 
doi:10.1155/2022/3088915 pmid:35035456 pmcid:PMC8759834 fatcat:43sxpdo4czbdjhcrdclmxwfhgq

Construction of E-Commerce Intelligent Recommendation System based on User Behavior Mining

2017 Revista Técnica de la Facultad de Ingeniería Universidad del Zulia  
The electronic commerce appearance is to a great extent because computer technology development with gradually mature, the electronic commerce transaction is that carries in-line therefore electronic commerce  ...  Under this era, this manuscript proposes the novel E-commerce intelligent recommendation system based on user behavior mining.  ...  In the other words, the electronic commerce premise and the core condition are the computer networks.  ... 
doi:10.21311/001.39.11.43 fatcat:4v4srnlbi5gutiz3c4fin46nh4

A Dynamic Pricing Approach in E-Commerce Based on Multiple Purchase Attributes [chapter]

Tapu Kumar Ghose, Thomas T. Tran
2010 Lecture Notes in Computer Science  
Our approach adjusts the selling price of products automatically with the help of neural network in order to maximize seller revenue.  ...  In this paper, we propose an approach of dynamic pricing where buyers purchase decision is dependent on multiple preferred purchase attributes such as product price, product quality, after sales service  ...  [10] used machine learning based approach to study price dynamics in an electronic retail market.  ... 
doi:10.1007/978-3-642-13059-5_13 fatcat:kgig3et4hvg47f2ignpd64o7je

Predicting opponent's moves in electronic negotiations using neural networks

R CARBONNEAU, G KERSTEN, R VAHIDOV
2008 Expert systems with applications  
This paper presents an approach to modeling the negotiation process in a time-series fashion using artificial neural network.  ...  The neural network has been trained using the Levenberg-Marquardt algorithm with Bayesian Regularization.  ...  In order to test the applicability of machine learning approaches in modeling negotiation dynamics we use data obtained from bilateral negotiations experiments conducted with the use of the Inspire electronic  ... 
doi:10.1016/j.eswa.2006.12.027 fatcat:whvablbslzgubbyewqntzrqik4

What factors influence online product sales? Online reviews, review system curation, online promotional marketing and seller guarantees analysis

Zhijie Zhao, Jiaying Wang, Huadong Sun, Yang Liu, Zhipeng Fan, Fuhua Xuan
2019 IEEE Access  
This paper proposes an SFNN (a sales factor model using a neural network), which uses a backpropagation multilayer perceptron neural network and weight matrix operation, to study the mechanism of the influencing  ...  factors of online product sales in the e-commerce platform.  ...  The MATLAB R2016b neural network toolbox was also used in this study.  ... 
doi:10.1109/access.2019.2963047 fatcat:4hq5jixlubgftjv4hoyqwuy2mq

Predicting online product sales via online reviews, sentiments, and promotion strategies

Alain Yee Loong Chong, Boying Li, Eric W.T. Ngai, Eugene Ch'ng, Filbert Lee
2016 International Journal of Operations & Production Management  
According to Chiang et al., (2006) , within the field of e-commerce, back-propagation neural networks are the most commonly used networks.  ...  and customer reviews, neural network is suitable to use in our study.  ... 
doi:10.1108/ijopm-03-2015-0151 fatcat:z5gu24o5q5aulmvgfkufvokvqq

Machine Learning Driven an E-Commerce

Farahnaz Behgounia, Bahman Zohuri
2020 Zenodo  
deep learning into the e-commerce site of today which is in demand and very much becomes mandatory in order to be most effective and money maker for the owners of these sites.  ...  This type of approach with the site makes these commerce site more business resilience in such competitive market.  ...  Recurrent Neural Network (RNN).  ... 
doi:10.5281/zenodo.4252455 fatcat:dkguosykyjaotmg5o6di6hxk4u

A Trust Evaluation Model for Social Commerce Based on BP Neural Network

Lei Chen, Ruimei Wang
2016 Journal of Data Analysis and Information Processing  
Recent years we have witnessed the rapid growth of social commerce in China, but many users are not willing to trust and use social commerce.  ...  Questionnaires are handed out to collect twelve secondary indexes scores as input of BP neural network and composite score of trust as output.  ...  As a widely used neural network model, BP neural network is a kind of nonlinear dynamics system which simulates the human brain to identify, recognize and process information.  ... 
doi:10.4236/jdaip.2016.44013 fatcat:hurqgdii3bfmxiwxks4oobnm4e

Predicting consumer product demands via Big Data: the roles of online promotional marketing and online reviews

Alain Yee Loong Chong, Eugene Ch'ng, Martin J. Liu, Boying Li
2015 International Journal of Production Research  
The completed web crawling and scraping datasets were then preprocessed for Neural Network analysis.  ...  Our empirical contributions include the design of a Big Data architecture that incorporate neural network analysis which can used as a platform for future researchers to investigate how Big Data can be  ...  Neural Network Analysis The data for this research is analysed using back-propagation neural network. A three layer neural network is developed for this study.  ... 
doi:10.1080/00207543.2015.1066519 fatcat:dhnjcpanerazvcyuacfmpiqbwe

A Novel E-Commerce Negotiation Optimization Model Based on Improved Genetic Algorithm

Yang Liu
2012 Advanced Engineering Forum  
Electronic commerce has rapidly become a major player in the business market .This paper proposes a new electronic commerce negotiation optimization model based on improved genetic algorithm which depends  ...  on not only price, but also other factors of commodity.  ...  E-commerce is the use of computer technology, network technology and telecommunications technology, electronic, digital and network in the entire business process [2] .  ... 
doi:10.4028/www.scientific.net/aef.6-7.566 fatcat:5gusifimajbbfaypdev32qezrq

Supply Chains in Network Economy

Petr Fiala
2003 Communications - Scientific Letters of the University of Zilina  
The paper analyzes a combination of non-cooperative and cooperative decision making of supply chains in network economy.  ...  Supply chain management is more and more affected by network business environment and by information and communication technologies.  ...  structures: • flow network, • Petri network, • neural network.  ... 
doi:10.26552/com.c.2003.4.42-46 fatcat:su4o5bvvm5emdmvtawg75ebvgu
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