An Analysis of the Features Considerable for NFT Recommendations

Abstract

This research explores the methods that Non-fungible Token (NFT)s can be recommended to people who inter-act 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.