Ludovico Boratto

Price is a key determinant of user purchase behavior in e-commerce. As traditional recommendation techniques typically fail to account for price information, Price-Aware Recommender Systems have emerged in response, aiming to explicitly incorporate price as a core feature to enhance the overall q...

Graph models that manipulate the frequency spectrum of user-item interactions to separate preference signals from noise often report significant improvements, but concerns about evaluation rigor and reproducibility persist. We conduct a reproducibility and replicability study that examines three...

Online ranking systems face the challenge of incorporating temporal information while maintaining ethical principles that avoid user profiling. Traditional approaches either ignore temporal dynamics entirely or rely on user reputation schemes that raise privacy and bias concerns. In this work, we...