Christian Joppi

POP: Mining POtential Performance of New Fashion Products via Webly Cross-Modal Query Expansion

"We propose a data-centric pipeline able to generate exogenous observation data for the New Fashion Product Performance Forecasting (NFPPF) problem, i.e., predicting the performance of a brand-new clothing probe with no available past observations. Our pipeline manufactures the missing past starting…