A Social Capital-Based NFT Collection Recommendation Mechanism

Sheng Ching Wang; Yung Ming Li

doi:10.1109/IIAI-AAI59060.2023.00019

A Social Capital-Based NFT Collection Recommendation Mechanism

Sheng Ching Wang^*, Yung Ming Li

^*Corresponding author for this work

Institute of Information Management

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The non-fungible token (NFT) market has seen rapid growth, making it challenging for investors to select valuable NFT collections. Moreover, the prevalence of wash trading in NFT transactions has distorted market activity and misled investors. To address these issues, we propose a novel NFT collection recommendation mechanism based on social capital theory to support the healthy development of the NFT market. We filter wash trading and predict the trends of NFT collections. This study offers a promising approach to enhancing user experience in the NFT market and mitigating the harmful effects of wash trading on market activity.

Original language	English
Title of host publication	Proceedings - 2023 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	45-48
Number of pages	4
ISBN (Electronic)	9798350324228
DOIs	https://doi.org/10.1109/IIAI-AAI59060.2023.00019
State	Published - 2023
Event	14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023 - Koriyama, Japan Duration: 8 Jul 2023 → 13 Jul 2023

Publication series

Name	Proceedings - 2023 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023

Conference

Conference	14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023
Country/Territory	Japan
City	Koriyama
Period	8/07/23 → 13/07/23

Keywords

Non-Fungible Token (NFT)
Recommendation System
Social Capital Theory
Trend Prediction
Wash Trading

Access to Document

10.1109/IIAI-AAI59060.2023.00019

Cite this

Wang, S. C., & Li, Y. M. (2023). A Social Capital-Based NFT Collection Recommendation Mechanism. In Proceedings - 2023 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023 (pp. 45-48). (Proceedings - 2023 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IIAI-AAI59060.2023.00019

Wang, Sheng Ching ; Li, Yung Ming. / A Social Capital-Based NFT Collection Recommendation Mechanism. Proceedings - 2023 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 45-48 (Proceedings - 2023 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023).

@inproceedings{b34be067be454915a7b6de9400857503,

title = "A Social Capital-Based NFT Collection Recommendation Mechanism",

abstract = "The non-fungible token (NFT) market has seen rapid growth, making it challenging for investors to select valuable NFT collections. Moreover, the prevalence of wash trading in NFT transactions has distorted market activity and misled investors. To address these issues, we propose a novel NFT collection recommendation mechanism based on social capital theory to support the healthy development of the NFT market. We filter wash trading and predict the trends of NFT collections. This study offers a promising approach to enhancing user experience in the NFT market and mitigating the harmful effects of wash trading on market activity.",

keywords = "Non-Fungible Token (NFT), Recommendation System, Social Capital Theory, Trend Prediction, Wash Trading",

author = "Wang, \{Sheng Ching\} and Li, \{Yung Ming\}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023 ; Conference date: 08-07-2023 Through 13-07-2023",

year = "2023",

doi = "10.1109/IIAI-AAI59060.2023.00019",

language = "English",

series = "Proceedings - 2023 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "45--48",

booktitle = "Proceedings - 2023 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023",

address = "美國",

}

Wang, SC & Li, YM 2023, A Social Capital-Based NFT Collection Recommendation Mechanism. in Proceedings - 2023 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023. Proceedings - 2023 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023, Institute of Electrical and Electronics Engineers Inc., pp. 45-48, 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023, Koriyama, Japan, 8/07/23. https://doi.org/10.1109/IIAI-AAI59060.2023.00019

A Social Capital-Based NFT Collection Recommendation Mechanism. / Wang, Sheng Ching; Li, Yung Ming.
Proceedings - 2023 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 45-48 (Proceedings - 2023 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Social Capital-Based NFT Collection Recommendation Mechanism

AU - Wang, Sheng Ching

AU - Li, Yung Ming

PY - 2023

Y1 - 2023

N2 - The non-fungible token (NFT) market has seen rapid growth, making it challenging for investors to select valuable NFT collections. Moreover, the prevalence of wash trading in NFT transactions has distorted market activity and misled investors. To address these issues, we propose a novel NFT collection recommendation mechanism based on social capital theory to support the healthy development of the NFT market. We filter wash trading and predict the trends of NFT collections. This study offers a promising approach to enhancing user experience in the NFT market and mitigating the harmful effects of wash trading on market activity.

AB - The non-fungible token (NFT) market has seen rapid growth, making it challenging for investors to select valuable NFT collections. Moreover, the prevalence of wash trading in NFT transactions has distorted market activity and misled investors. To address these issues, we propose a novel NFT collection recommendation mechanism based on social capital theory to support the healthy development of the NFT market. We filter wash trading and predict the trends of NFT collections. This study offers a promising approach to enhancing user experience in the NFT market and mitigating the harmful effects of wash trading on market activity.

KW - Non-Fungible Token (NFT)

KW - Recommendation System

KW - Social Capital Theory

KW - Trend Prediction

KW - Wash Trading

UR - https://www.scopus.com/pages/publications/85183458758

U2 - 10.1109/IIAI-AAI59060.2023.00019

DO - 10.1109/IIAI-AAI59060.2023.00019

M3 - Conference contribution

AN - SCOPUS:85183458758

T3 - Proceedings - 2023 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023

SP - 45

EP - 48

BT - Proceedings - 2023 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023

Y2 - 8 July 2023 through 13 July 2023

ER -

Wang SC, Li YM. A Social Capital-Based NFT Collection Recommendation Mechanism. In Proceedings - 2023 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 45-48. (Proceedings - 2023 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023). doi: 10.1109/IIAI-AAI59060.2023.00019

A Social Capital-Based NFT Collection Recommendation Mechanism

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