An Analysis of the Features Considerable for NFT Recommendations
Information Retrieval
2022-05-03 v1 Computers and Society
Human-Computer Interaction
Machine Learning
Abstract
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.
Cite
@article{arxiv.2205.00456,
title = {An Analysis of the Features Considerable for NFT Recommendations},
author = {Dinuka Piyadigama and Guhanathan Poravi},
journal= {arXiv preprint arXiv:2205.00456},
year = {2022}
}