Recommender Systems for NFT Purchasing

Durmus Aydogdu, Nizamettin Aydin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 languageEnglish
Title of host publication4th International Informatics and Software Engineering Conference - Symposium Program, IISEC 2023
EditorsAsaf Varol, Cihan Varol
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350318036
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event4th International Informatics and Software Engineering Conference, IISEC 2023 - Ankara, Turkey
Duration: 21 Dec 202322 Dec 2023

Publication series

Name4th International Informatics and Software Engineering Conference - Symposium Program, IISEC 2023

Conference

Conference4th International Informatics and Software Engineering Conference, IISEC 2023
Country/TerritoryTurkey
CityAnkara
Period21/12/2322/12/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • blockchain
  • NFT
  • recommender systems

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