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Nicola Cecere
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2020 – today
- 2024
- [c3]Nicola Cecere, Andrea Pisani, Maurizio Ferrari Dacrema, Paolo Cremonesi:
Leveraging Semantic Embeddings of User Reviews with Off-the-Shelf LLMs for Recommender Systems. IIR 2024: 87-90 - [c2]Andrea Pisani, Nicola Cecere, Maurizio Ferrari Dacrema, Paolo Cremonesi:
Pre-Trained LLM Embeddings of Product Reviews for Recommendation. IIR 2024: 91-94 - 2023
- [c1]Paolo Basso, Arturo Benedetti, Nicola Cecere, Alessandro Maranelli, Salvatore Marragony, Samuele Peri, Andrea Riboni, Alessandro Verosimile, Davide Zanutto, Maurizio Ferrari Dacrema:
Pessimistic Rescaling and Distribution Shift of Boosting Models for Impression-Aware Online Advertising Recommendation. RecSys Challenge 2023: 33-38
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last updated on 2024-11-08 21:28 CET by the dblp team
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