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An Analysis of the Features Considerable for NFT Recommendations
May 01, 2022 Β· Declared Dead Β· π International Conference on Human System Interaction
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Dinuka Piyadigama, Guhanathan Poravi
arXiv ID
2205.00456
Category
cs.IR: Information Retrieval
Cross-listed
cs.CY,
cs.HC,
cs.LG
Citations
22
Venue
International Conference on Human System Interaction
Last Checked
4 months ago
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.
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