Wallets' explorations across non-fungible token collections
arxiv(2024)
摘要
Non-fungible tokens (NFTs), which are immutable and transferable tokens on
blockchain networks, have been used to certify the ownership of digital images
often grouped in collections. Depending on individual interests, wallets
explore and purchase NFTs in one or more image collections. Among many
potential factors of shaping purchase trajectories, this paper specifically
examines how visual similarities between collections affect wallets'
explorations. Our model shows that wallets' explorations are not random but
tend to favor collections having similar visual features to their previous
purchases. The model also predicts the extent to which the next collection is
close to the most recent collection of purchases with respect to visual
features. These results are expected to enhance and support recommendation
systems for the NFT market.
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