Daniele Malitesta

Addressing the impact of missing information in recommendations.

An overview of crucial characteristics in recommendation systems and their impact on performance.

This study analyzes the fairness of diffusion-based recommendation methods compared to traditional models.

This article examines how item recommendation and link prediction can work together.

A study on improving recommendation systems by focusing on feature extraction techniques.