NFT Appraisal Prediction: Utilizing Search Trends, Public Market Data, Linear Regression and Recurrent Neural Networks

This addresses the problem of NFT appraisal for investors and collectors, but appears incremental as it applies existing methods like linear regression and RNNs to a new domain.

The paper tackled the problem of predicting NFT valuations by investigating correlations with public market data, NFT metadata, and social trends data, but no concrete results or numbers were provided in the abstract.