Recommender Systems for NFT Purchasing

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.