Fedelucio Narducci

How to put users in control of their data in federated top-N recommendation with learning to rank

2021

Recommendation services are extensively adopted in several user-centered applications as a tool to alleviate the information overload problem and help users in orienteering in a vast space of possible choices. In such scenarios, data ownership …

Interactive Question Answering Systems: Literature Review

2022 · arXiv (Cornell University)

Question answering systems are recognized as popular and frequently effective means of information seeking on the web. In such systems, information seekers can receive a concise response to their query by presenting their questions in …

Do LLMs Memorize Recommendation Datasets? A Preliminary Study on MovieLens-1M

2025

Large Language Models (LLMs) have become increasingly central to recommendation scenarios due to their remarkable natural language understanding and generation capabilities. Although significant research has explored the use of LLMs for various recommendation tasks, little …