Felice Antonio Merra
3 papers in the PaperMetrix corpus
Papers by this author
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Assessing the Impact of a User-Item Collaborative Attack on Class of Users
2019 · arXiv (Cornell University)
Collaborative Filtering (CF) models lie at the core of most recommendation systems due to their state-of-the-art accuracy. They are commonly adopted in e-commerce and online services for their impact on sales volume and/or diversity, and …
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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, …