改进智能交易系统,确保以人为本的消费者应用安全:物联网和马尔可夫逻辑网络方法

IF 3.7 4区 管理学 Q2 BUSINESS
Ali Ala, Amir Hossein Sadeghi, Muhammet Deveci, Dragan Pamucar
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引用次数: 0

摘要

考虑到现代消费者越来越倾向于经常光顾能够迅速满足其各种需求的大型零售连锁店,当代购物综合体的数量明显激增。订阅服务、以客户为中心的战略和高效的供应管理正在这些大型零售平台中推动智能商务的发展。物联网(IoT)为 "智能 "零售商奠定了基础,使其能够监控库存水平、减少设备故障并提供更好的客户体验。许多模型,如该领域广泛使用的方法之一马尔可夫逻辑网络(MLN),可以通过统一概率和逻辑,同时使用活动知识和数据。在这项研究中,我们确定了一个智能交易系统(SDS),考虑改进机器学习算法以满足性能要求,并开发了以人为本的安全消费者应用程序,使该系统具有可操作性。从结果来看,根据效率百分比,约有 10% 的客户是随机连接的,这对 LR(逻辑回归)的结果影响不大。当 NB(奈夫贝叶斯)连接的客户数量在 30%-40%的范围内时,也会产生类似的结果。因此,未来的购物销售额将随着其运作效率和速度的提高而增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Improving smart deals system to secure human-centric consumer applications: Internet of things and Markov logic network approaches

Improving smart deals system to secure human-centric consumer applications: Internet of things and Markov logic network approaches

Considering the increasing inclination of modern consumers to frequent large retail chains capable of promptly fulfilling their diverse needs, there is a noticeable surge in the prevalence of contemporary shopping complexes. Subscription services, customer-focused strategies, and efficient supply management are driving the progression of intelligent commerce within these expansive retail platforms. The Internet of Things (IoT) presents the foundation for “smart” retailers that can monitor inventory levels, diminish equipment failures, and provide better customer experience. Many models, as one of the widely used methods in this domain, Markov Logic Network (MLN), can simultaneously use activity knowledge and data by unifying probability and logic. In this research, we determine a smart deals system (SDS), consider the improved machine learning algorithms to meet performance, and develop secure human-centric consumer applications to render the system workable. From the results, and based on the percentage of efficiency, around 10% of clients are connected randomly, which has a minor impact on the outcomes from LR (logistic regression). Similar outcomes are delivered when the number of customers in the scope of 30–40% is connected for NB (Naive Bayes). Hence, prospective shopping sales will increase along with the efficiency and speed at which it operates.

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来源期刊
CiteScore
7.50
自引率
12.80%
发文量
99
期刊介绍: The Internet and the World Wide Web have brought a fundamental change in the way that individuals access data, information and services. Individuals have access to vast amounts of data, to experts and services that are not limited in time or space. This has forced business to change the way in which they conduct their commercial transactions with their end customers and with other businesses, resulting in the development of a global market through the Internet. The emergence of the Internet and electronic commerce raises many new research issues. The Electronic Commerce Research journal will serve as a forum for stimulating and disseminating research into all facets of electronic commerce - from research into core enabling technologies to work on assessing and understanding the implications of these technologies on societies, economies, businesses and individuals. The journal concentrates on theoretical as well as empirical research that leads to better understanding of electronic commerce and its implications. Topics covered by the journal include, but are not restricted to the following subjects as they relate to the Internet and electronic commerce: Dissemination of services through the Internet;Intelligent agents technologies and their impact;The global impact of electronic commerce;The economics of electronic commerce;Fraud reduction on the Internet;Mobile electronic commerce;Virtual electronic commerce systems;Application of computer and communication technologies to electronic commerce;Electronic market mechanisms and their impact;Auctioning over the Internet;Business models of Internet based companies;Service creation and provisioning;The job market created by the Internet and electronic commerce;Security, privacy, authorization and authentication of users and transactions on the Internet;Electronic data interc hange over the Internet;Electronic payment systems and electronic funds transfer;The impact of electronic commerce on organizational structures and processes;Supply chain management through the Internet;Marketing on the Internet;User adaptive advertisement;Standards in electronic commerce and their analysis;Metrics, measurement and prediction of user activity;On-line stock markets and financial trading;User devices for accessing the Internet and conducting electronic transactions;Efficient search techniques and engines on the WWW;Web based languages (e.g., HTML, XML, VRML, Java);Multimedia storage and distribution;Internet;Collaborative learning, gaming and work;Presentation page design techniques and tools;Virtual reality on the net and 3D visualization;Browsers and user interfaces;Web site management techniques and tools;Managing middleware to support electronic commerce;Web based education, and training;Electronic journals and publishing on the Internet;Legal issues, taxation and property rights;Modeling and design of networks to support Internet applications;Modeling, design and sizing of web site servers;Reliability of intensive on-line applications;Pervasive devices and pervasive computing in electronic commerce;Workflow for electronic commerce applications;Coordination technologies for electronic commerce;Personalization and mass customization technologies;Marketing and customer relationship management in electronic commerce;Service creation and provisioning. Audience: Academics and professionals involved in electronic commerce research and the application and use of the Internet. Managers, consultants, decision-makers and developers who value the use of electronic com merce research results. Special Issues: Electronic Commerce Research publishes from time to time a special issue of the devoted to a single subject area. If interested in serving as a guest editor for a special issue, please contact the Editor-in-Chief J. Christopher Westland at westland@uic.edu with a proposal for the special issue. Officially cited as: Electron Commer Res
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