Symbiotic Conversational Recommender Systems: A New Approach to Improving Transparency and Persuasion (Short paper). - Alessandro Petruzzelli (DC@AI*IA, 2023)

Towards Symbiotic Recommendations: Leveraging LLMs for Conversational Recommendation Systems. - Alessandro Petruzzelli (RecSys, 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 (RecSys, 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 (RecSys, 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)

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 (UMAP, 2024)

Empowering Recommender Systems based on Large Language Models through Knowledge Injection Techniques. - Alessandro Petruzzelli; Cataldo Musto; Marco de Gemmis; Giovanni Semeraro; Pasquale Lops (UMAP, 2025)