• Soft Computing and Machine Intelligence
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• v.1 no.1
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• pp.31-35
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• 2021

In recent years, due to COVID-19, the process of shopping has become more restricted and difficult for customers. Based on this aspect, customers are more interested in online shopping to keep the Untact rules and stay safe, similarly ordering their product based on their need and interest with most straightforward and fastest ways. In this paper, the reinforcement learning technique is applied in the product recommendation system to improve the recommendation system quality for better and more related suggestions based on click patterns and users' profile information. The dataset used in this system was taken from an online shopping mall in Jeju island, South Korea. We have compared the proposed method with the recent state-of-the-art and research results, which show that reinforcement learning effectiveness is higher than other approaches.

• Journal of Industrial Technology
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• v.24 no.A
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• pp.47-57
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• 2004

Industrial efforts for increased market sales have directed towards the development and implementation of on-line marketing systems under recent e-business environment. Internet-based shopping mall is one of the most popular system. A business process model for an intermediary type shopping mall using IDEF0 has been presented in this study. Specific efforts have been focused on defining and analyzing a diversity of business processes embedded in practical B2B and B2C mall system operations. We first briefly examined the considered system with IDEF0 design. We then defined fundamental business processes within shopping mall systems. Upon careful examination and analysis of them, a detailed business process model based on IDEF methodology has been designed. The results in this study may well form a conceptual framework for shopping mall development and operations.

• Journal of Arbitration Studies
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• v.30 no.2
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• pp.145-164
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• 2020

With the development of the Internet, e-commerce is rapidly developing, and e-commerce through the Internet has become a major distribution channel for selling products and services to consumers and buyers. However, as Internet shopping develops, consumer dissatisfaction and conflict are increasing. In this regard, this study examined how consumer dissatisfaction caused by using an Internet shopping mall, which is currently taking the core position in commerce activities, leads to consumer complaints, and how these complaints affect the necessity and intention to use the arbitration system. As a result of the study, the following implications were obtained. First, it will be necessary to remove the root cause of consumer complaints by continuously monitoring consumer complaints, rather than staying at passive consumer complaints such as defective product exchange and damage compensation for dissatisfaction with Internet shopping malls. Second, it can be said that the function of the arbitration system is required to protect the rights and interests of consumers using the Internet shopping mall and to actively improve the problems in the event of a damage situation or a problem situation. Lastly, academia's continuous research will be needed, and governments and related organizations will need to continuously provide and promote information to users of Internet shopping malls.

• The Korean Journal of Community Living Science
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• v.15 no.3
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• pp.3-14
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• 2004

This study examined how product characteristics and system characteristics have affected user's economic, psychological and operating satisfaction and intention of repurchase in Internet shopping malls. The results of the study were as follows: First, it showed that product characteristics and user satisfaction have significant differences; the ability to recognize economic and psychological user satisfaction differs according to the characteristics of the product. It also showed that the degree of psychological and operating user satisfaction varies according to the convenience of order and payment as well as the convenience of the system and customer service. Second, it was found that economic, psychological and operational user satisfaction had an effect on customer's intention to repurchase. This study, focusing on particular variants of on-line shopping, found that characteristics of product and system had a great impact on user satisfaction and intention to repurchase. For the firms who run internet shopping malls, therefore more attention should be directed to the convenience of products and system problems in their services since it is so easy for customers to move to another shopping site with a simple click. The result of such an investigation may lead customers to repurchase by increasing their satisfaction with the shopping services.

• Journal of Information Technology Applications and Management
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• v.23 no.4
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• pp.55-70
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• 2016

Recently, development of indoor positioning system and IoT such as beacon makes it possible to collect and analyze each customer's shopping behavior in off-line shopping malls. In this study, we propose a realtime brand recommendation scheme based on each customer's brand visiting history for off-line shopping mall with indoor positioning system. The proposed scheme, which apply collaborative filtering to off-line shopping mall, is composed of training and apply process. The training process is designed to make the base brand network (BBN) using historical transaction data. Then, the scheme yields recommended brands for shopping customers based on their behaviors and BBN in the apply process. In order to verify the performance of the proposed scheme, simulation was conducted using purchase history data from a department store in Korea. Then, the results was compared to the previous scheme. Experimental results showd that the proposed scheme performs brand recommendation effectively in off-line shopping mall.

• The Journal of Society for e-Business Studies
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• v.3 no.2
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• pp.57-71
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• 1998

In this paper, we describe the approaches of shopping agents and directory services for online comparison shopping on the web, and propose an information indexing and retrieval system, named InfoEye, with a new method for automatic extraction of product information. The developed method is based on the knowledge about presentation of the product information on the Web. The method from the knowledge about presentation of the product information is derived from both the point that online stores display their products to customers in easy-to-browse ways and heuristics made of analyses of product information look-and-feel of domestic online stores. In indexing process, the method is applied to product information extraction from Hypertext Markup Language (HTML) documents collected by a mirroring robot from online stores. We have made InfoEye to a readily usable stage and transferred the technology to Webnara commercial shopping engine. The proposed system is a cutting-edge solution to help customers as a shopping expert by providing information about the reasonable price of a product from dozens of online stores, saving customers shopping time, giving information about new products, and comparing quality factors of products in a same category.

• The Journal of the Korea Contents Association
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• v.9 no.6
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• pp.37-44
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• 2009

In this paper, we present a switched beamforming RFID reader and propose a convenient shopping system using it. The smart gate with the switched beamforming RFID reader(s) improves tag detection probability, tag false alarm probability, automatic detection functionality of shopping system compared to existing RFID based systems. The proposed system consists of a smart gate to read and verify the tags within cart, a check-out counter to approve customer purchase, and a central server to manage inventory & delivery and to analyze customer purchase trend. The proposed shopping system is more practical, convenient, and cost-effective to A/S than existing RFID shopping systems.

• Journal of Distribution Science
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• v.15 no.2
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• pp.15-20
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• 2017

Purpose - This paper aims to suggest a delivery constrained internet shopping optimization problem (DISOP) which must be solved for online recommendation system to provide a customized service considering cost and delivery conditions at the same time. Research design, data, and methodology - To solve a (DISOP), we propose a multi-objective formulation and a solution approach. By using a commercial optimization software (LINDO), a (DISOP) can be solved iteratively and a pareto optimal set can be calculated for real-sized problem. Results - We propose a new research problem which is different with internet shopping optimization problem since our problem considers not only the purchasing cost but also delivery conditions at the same time. Furthermore, we suggest a multi-objective mathematical formulation for our research problem and provide a solution approach to get a pareto optimal set by using numerical example. Conclusions - This paper proposes a multi-objective optimization problem to solve internet shopping optimization problem with delivery constraint and a solution approach to get a pareto optimal set. The results of research will contribute to develop a customized comparison and recommendation system to help more easy and smart online shopping service.

• Journal of Information Technology Applications and Management
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• v.24 no.4
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• pp.1-12
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• 2017

Item-based collaborative filtering (IBCF) is an important technology that is widely used in recommender system of online shopping malls. It uses historical information to compute item-item similarity and make predictions. However, in offline shopping each customer's purchasing pattern can be occurred continuously and repeatedly due to time and space constraints contrast to online shopping. Those facts can make IBCF to have limitations from being applied to offline shopping malls directly. In order to improve the quality of recommendations made by IBCF in offline shopping mall, we propose an ensemble approach that considers both item-item similarity of IBCF and each customer's purchasing patterns which are modeled by item networks. Our experimental results show that this approach produces recommendation results superior to those of existing works such as pure IBCF or bestseller approaches.

• Journal of Korea Technology Innovation Society
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• v.4 no.2
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• pp.198-210
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• 2001

The purpose of this study is to suggest information system focused on the delivery system for national internet shopping mall. It is specifically summarized as follows. First, I showed the necessary required contents for constructing information system focused on the delivery system. Next, I suggested the theoretical model of the necessary information system for practicing information system, which is based on the above contents. The result of this study is to support for constructing information delivery system required for information system of internet shopping mall. And is to do a role of guide for practicing it, which is regarded as constructing a practical business guideline.