Recommendation system with minimized transaction data

Hwangbo, Yujeong; Lee, Kyoung Jun; Jeong, B.; Park, Kyung Yang

doi:10.1016/j.dsm.2022.01.001

Cited by 8 publications

(2 citation statements)

References 8 publications

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“…However, such personal information should be easily shared and traded on the data market as an individual’s asset. For example, MyData is an ongoing trend for promoting the use of personal data in conventional industries (Hwangbo et al, 2021). To use a variety of Big Data application services, collected data in an IoT environment can be transacted for sufficient compensation.…”

Section: Discussionmentioning

confidence: 99%

Which Attributes Should be Considered in Regulating the Internet of Things? Evidence From Conjoint Analysis

Na,

Hwang,

Kim

2023

Sage Open

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With rapid development in the Internet infrastructure, new and innovative services using the Internet of Things (IoT) have emerged. Despite the wide range of topics regarding IoT services that have been discussed, regulatory concerns solely concentrate on personal information and privacy protection in academic research and legislation. In other words, a comprehensive regulatory framework for IoT services should be developed with potential consumers in mind; however, relevant studies are lacking. To bridge this research gap, this study estimates consumer preferences to build an appropriate regulation for IoT service deployment. The study uses conjoint analysis and a layered model to investigate the importance of attributes for IoT services as part of the consideration supporting IoT regulations. Based on the estimation results, all attributes of the IoT services are relevant to potential consumers, and as an example of IoT applications, the Big Data analysis application is more critical to consumers in terms of marginal willingness-to-pay and relative importance. Furthermore, a new type of vertical integration is appealing to potential customers. Policymakers can benefit from the development of various IoT policies, simultaneous pursuits of IoT application innovation and privacy concerns, and nondiscriminatory regulation principles.

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Section: Discussionmentioning

confidence: 99%

Which Attributes Should be Considered in Regulating the Internet of Things? Evidence From Conjoint Analysis

Na,

Hwang,

Kim

2023

Sage Open

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“…Federated learning (FL) has emerged as a crucial approach to address this challenge. Zhou et al (2021) and Fernandez et al (2023) emphasized FL's increment of competitiveness to data-scarce MSMEs.…”

Section: Introductionmentioning

confidence: 99%

General Commerce Intelligence: Glocally Federated NLP-Based Engine for Privacy-Preserving and Sustainable Personalized Services of Multi-Merchants

Lee,

Jeong,

Kim

et al. 2024

AAAI

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One of the most crucial capabilities in the commercial sector is a personalized prediction of a customer's next purchase. We present a novel method of creating a commerce intelligence engine that caters to multiple merchants intended for the UB Platform, managed by e-payment company Harex InfoTech. To cultivate this intelligence, we utilized payment receipt data and created a Natural Language Processing (NLP)-based commerce model using a Transformer to accommodate multinational and merchant trade. Our model, called General Commerce Intelligence (GCI), provides a range of services for merchants, including product recommendations, product brainstorming, product bundling, event promotions, collaborative marketing, target marketing, and demand fore-casting etc. To bolster user privacy and foster sustainable business collaboration, especially among micro-, small-, and medium-sized enterprises (MSMEs), the GCI model was trained through federated learning, especially with glocalization. This study delves into the structure, development, and assessment of GCI, showcasing its transformative capacity to implement User Centric AI and re-shape the global commerce landscape to benefit MSMEs.

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Knowledge Transfer of China’s HSR Standards “Going Global” Based on System Dynamics

Shui-ying

Chai

2023

J Knowl Econ

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Recommendation system with minimized transaction data

Cited by 8 publications

References 8 publications

Which Attributes Should be Considered in Regulating the Internet of Things? Evidence From Conjoint Analysis

Which Attributes Should be Considered in Regulating the Internet of Things? Evidence From Conjoint Analysis

General Commerce Intelligence: Glocally Federated NLP-Based Engine for Privacy-Preserving and Sustainable Personalized Services of Multi-Merchants

Knowledge Transfer of China’s HSR Standards “Going Global” Based on System Dynamics

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