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Dynamic Pricing in Electronic Commerce Using Neural Network
[chapter]
2009
Lecture Notes in Business Information Processing
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"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
2016
Zenodo
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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
2019
Periodicals of Engineering and Natural Sciences (PEN)
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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
2022
Wireless Communications and Mobile Computing
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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
2022
Computational Intelligence and Neuroscience
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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
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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]
2010
Lecture Notes in Computer Science
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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
2008
Expert systems with applications
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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
2019
IEEE Access
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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
2016
International Journal of Operations & Production Management
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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
2020
Zenodo
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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
2016
Journal of Data Analysis and Information Processing
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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
2015
International Journal of Production Research
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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
2012
Advanced Engineering Forum
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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
2003
Communications - Scientific Letters of the University of Zilina
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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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