Mobile e-Commerce Recommendation System Based on Multi-Source Information Fusion for Sustainable e-Business

Guo, Yan; Yin, Chengxin; Li, Mingfu; Ren, Xiaoting; Liu, Ping

doi:10.3390/su10010147

Cited by 63 publications

(43 citation statements)

References 42 publications

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“…Also, in this research, the authors considered the dynamic of the plan and proposed a system to be implemented which was based on the prototype model. In another study, numerous user-profiling approaches for a demographic recommender system were explored, discussed, and examined [55][56][57][58]. Their developed approach provided numerous alternatives for profiling users in terms of their attribute type, attribute representation, and profiling mannerism.…”

Section: Literature Reviewmentioning

confidence: 99%

Web-Based Recommendation System for Smart Tourism: Multiagent Technology

Hassannia

Barenji

et al. 2019

Sustainability

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The purpose of the study is to design and develop a recommended system based on agent and web technologies, which utilizes a hybrid recommendation filtering for the smart tourism industry. A hybrid recommendation system based on agent technology is designed by considering the online communication with other sectors in the tourism industry, such as the tourism supply chain, agency etc. However, online communication between the sectors via agents is designed and developed based on the contract net protocol. Furthermore, the design system is developed on the java agent development framework and implemented as a web application. Case study-based results considering two scenarios involving 100 customers illustrated that the proposed web application improves the rate of the recommendation for the customers. In the first scenario without disturbances, this rate was improved by 20% and the second scenario with disturbances yielded a 30% rate of acceptable recommendation. In addition, based on the second scenario, real time data communication on the system occurred, thus the proposed system supported real time data communication.

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Section: Literature Reviewmentioning

confidence: 99%

Web-Based Recommendation System for Smart Tourism: Multiagent Technology

Hassannia

Barenji

et al. 2019

Sustainability

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“…Computing technology related judgments including database management, networking, data communications (Guo et al, 2018) and auditing judgment including security issues. This action is undertaken by management to plan, organize, and direct performance for adequate action that provides reasonable assurance for the achievement of the objectives of meeting the objectives and objectives set for operations and programs, the use of resources economically and efficiently, securing resources, trust and integrity, and adherence to policies, planning, procedures, laws and regulations.…”

Section: Internal Controlmentioning

confidence: 99%

E-Commerce Internal Control Of Accounting Information Systems

Muda¹,

Kholis²,

Pandia³

et al. 2019

Proceedings of the Proceedings of the 1st International Conference on Finance Economics and Business, ICOFEB 2018, 12-13 Novemb

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Accounting information systems related to the company's business activities such as classifying, recording and communicating information as a result of the end to reach a good decision for the internal parties and external parties, along with the development of technology, the accounting information system switched from manual to computerized. Companies that use information systems computer-based accounting requires that internal controls are integrated to produce the maximum, thus helping companies to minimize risks that may occur in connection with the use of computer-based accounting information systems to business processes.

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“…In addition to the use of discounts on shipping fees to retain consumers, e-tailers can offer more value-added services to customers through the use of information technology. For example, online recommendations reduce the consumers' web search costs and provide valuable product information [11,12]. Because of the strong complementarity and substitution in the products [13,14], e-tailers can take advantage of the interaction of product recommendation and complementarity and substitution effects to discover the products that best suit the customer.…”

Section: Introductionmentioning

confidence: 99%

Maximizing E-Tailers’ Sales Volume through the Shipping-Fee Discount and Product Recommendation System

Guo

Zeng

et al. 2020

Discrete Dynamics in Nature and Society

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E-tailers can impact customers’ order incidence and cart size by offering an attractive shipping fee; they can also influence customers to purchase other products using a recommendation system. This article provides a combined model in which the shipping-fee discount and product recommendations occur jointly to maximize the sales volume of e-tailers. Selection of recommended products and discount of shipping fee are the dynamic issues involving the complexity of business environments. The proposed model first determines the optimal shipping-fee discount to attract customers and then establishes the most suitable product recommendation list to encourage customers to spend more money on other products. Through the use of a shipping-fee discount and simultaneous product recommendations, e-tailers maximize the sales volume. As for consumers, they can always get additional savings from the subsequent shopping process because the product’s shipping fee is lower than the original shipping costs. Experimental results indicate that the proposed approach is feasible and better than alternative methods for achieving sales volume maximization. Furthermore, sensitivity analysis validates the stability of the proposed model in the face of an uncertain environment. Therefore, using the shipping-fee discount and product recommendation system as a united marketing strategy can maximize e-tailers’ sales volume.

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Mobile e-Commerce Recommendation System Based on Multi-Source Information Fusion for Sustainable e-Business

Cited by 63 publications

References 42 publications

Web-Based Recommendation System for Smart Tourism: Multiagent Technology

Web-Based Recommendation System for Smart Tourism: Multiagent Technology

E-Commerce Internal Control Of Accounting Information Systems

Maximizing E-Tailers’ Sales Volume through the Shipping-Fee Discount and Product Recommendation System

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