Abstract
With technological advancements, both habits and needs undergo significant changes. Moreover, these changes introduce numerous innovations into our lives. This study examines the application of recommendation systems to one such innovation: NFTs. Firstly, the structure and characteristics of NFTs operating on the blockchain are explored. Secondly, an original dataset suitable for an NFT recommendation system is developed. Using this dataset, fundamental recommendation system methods such as content-based and collaborative filtering are applied. The results obtained are then evaluated. Based on these findings, considerations for implementing an NFT recommendation system and potential directions for future research are discussed.
Original language | English |
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Title of host publication | 4th International Informatics and Software Engineering Conference - Symposium Program, IISEC 2023 |
Editors | Asaf Varol, Cihan Varol |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9798350318036 |
DOIs | |
Publication status | Published - 2023 |
Externally published | Yes |
Event | 4th International Informatics and Software Engineering Conference, IISEC 2023 - Ankara, Turkey Duration: 21 Dec 2023 → 22 Dec 2023 |
Publication series
Name | 4th International Informatics and Software Engineering Conference - Symposium Program, IISEC 2023 |
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Conference
Conference | 4th International Informatics and Software Engineering Conference, IISEC 2023 |
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Country/Territory | Turkey |
City | Ankara |
Period | 21/12/23 → 22/12/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- blockchain
- NFT
- recommender systems