Vito Walter Anelli
3 papers in the PaperMetrix corpus
Papers by this author
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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 …
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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 …
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Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
2021
Recommender Systems have shown to be an effective way to alleviate the over-choice problem and provide accurate and tailored recommendations. However, the impressive number of proposed recommendation algorithms, splitting strategies, evaluation protocols, metrics, and tasks, …