Alessandro Petruzzelli

According to our database, Alessandro Petruzzelli authored at least 12 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2026

Binge Watch: Reproducible Multimodal Benchmarks Datasets for Large-Scale Movie Recommendation on MovieLens-10M and 20M.

Giuseppe Spillo, Alessandro Petruzzelli, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro

CoRR, February, 2026

2025

Empowering Recommender Systems based on Large Language Models through Knowledge Injection Techniques.

Alessandro Petruzzelli, Cataldo Musto, Marco de Gemmis, Giovanni Semeraro, Pasquale Lops

Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, 2025

DistillRecDial: A Knowledge-Distilled Dataset Capturing User Diversity in Conversational Recommendation.

Alessandro Francesco Maria Martina, Alessandro Petruzzelli, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Nudging Healthy Choices: Leveraging LLM-Generated Hashtags and Explanations in Personalized Food Recommendations.

Ayoub El Majjodi, Alain Starke, Christoph Trattner, Alessandro Petruzzelli, Cataldo Musto

Proceedings of the 12th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2025) co-located with 19th ACM Conference on Recommender Systems (RecSys 2025), 2025

Knowledge is Power: Boosting Recommender Systems by Infusing LLMs with Domain Expertise.

Alessandro Petruzzelli, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro

Proceedings of the 15th Italian Information Retrieval Workshop (IIR 2025), 2025

Beyond Homogeneous Users: Simulating Diverse User Personas for Conversational Recommendation Datasets.

Alessandro Francesco Maria Martina, Alessandro Petruzzelli, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro

Proceedings of the 15th Italian Information Retrieval Workshop (IIR 2025), 2025

2024

Improving Transformer-based Sequential Conversational Recommendations through Knowledge Graph Embeddings.

Alessandro Petruzzelli, Alessandro Francesco Maria Martina, Giuseppe Spillo, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro

Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, 2024

HeASe: An AI-powered Framework to Promote Healthy and Sustainable Eating.

Alessandro Petruzzelli, Cataldo Musto, Michele Ciro Di Carlo, Giovanni Tempesta, Giovanni Semeraro

STAI@IJCAI, 2024

Instructing and Prompting Large Language Models for Explainable Cross-domain Recommendations.

Alessandro Petruzzelli, Cataldo Musto, Lucrezia Laraspata, Ivan Rinaldi, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Recommending Healthy and Sustainable Meals exploiting Food Retrieval and Large Language Models.

Alessandro Petruzzelli, Cataldo Musto, Michele Ciro Di Carlo, Giovanni Tempesta, Giovanni Semeraro

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Towards Symbiotic Recommendations: Leveraging LLMs for Conversational Recommendation Systems.

Alessandro Petruzzelli

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023

Symbiotic Conversational Recommender Systems: A New Approach to Improving Transparency and Persuasion (Short paper).

Alessandro Petruzzelli

Proceedings of the AIxIA Doctoral Consortium 2023 co-located with the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), 2023