This research explores the methods that NFTs can be recommended to people who interact with NFT-marketplaces to explore NFTs of preference and similarity to what they have been searching for. While exploring past methods that can be adopted for recommendations, the use of NFT traits for recommendations has been explored. The outcome of the research highlights the necessity of using multiple Recommender Systems to present the user with the best possible NFTs when interacting with decentralized systems.

翻译：这项研究探索了可以向与NFT市场进行互动的人推荐NFT方法,以探索其偏好和与他们所寻求的相似性。在探索以往可采纳的建议方法的同时,还探讨了利用NFT特性提出建议的问题。研究结果突出表明,在与分散化的系统进行互动时,必须使用多个建议系统向用户介绍尽可能最好的NFT。