Exploiting Distributional Semantics Models for Natural Language Context-aware Justifications for Recommender Systems. - Cataldo Musto; Giuseppe Spillo; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (IntRS@RecSys, 2020)

Exploiting Neuro-Symbolic Graph Embeddings based on First-Order Logical Rules for Knowledge-aware Recommendations. - Giuseppe Spillo; Cataldo Musto; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (DP@AI*IA, 2022)

Knowledge-aware Recommendations Based on Neuro-Symbolic Graph Embeddings and First-Order Logical Rules. - Giuseppe Spillo; Cataldo Musto; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (RecSys, 2022)

The URW-KG: a Resource for Tackling the Underrepresentation of non-Western Writers. - Marco Antonio Stranisci; Giuseppe Spillo; Cataldo Musto; Viviana Patti; Rossana Damiano (CoRR, 2022)

The URW-KG: a Resource for Tackling the Under-Representation of non-Western Writers. - Marco Antonio Stranisci; Giuseppe Spillo; Cataldo Musto; Viviana Patti; Rossana Damiano (Zenodo, 2022)

The URW-KG: a Resource for Tackling the Under-Representation of non-Western Writers. - Marco Antonio Stranisci; Giuseppe Spillo; Cataldo Musto; Viviana Patti; Rossana Damiano (Zenodo, 2022)

Knowledge-Aware Recommender Systems based on Multi-Modal Information Sources. - Giuseppe Spillo (RecSys, 2023)

Towards Sustainability-aware Recommender Systems: Analyzing the Trade-off Between Algorithms Performance and Carbon Footprint. - Giuseppe Spillo; Allegra De Filippo; Cataldo Musto; Michela Milano; Giovanni Semeraro (RecSys, 2023)

Combining Heterogeneous Embeddings for Knowledge-Aware Recommendation Models. - Giuseppe Spillo (UMAP, 2023)

Combining Graph Neural Networks and Sentence Encoders for Knowledge-aware Recommendations. - Giuseppe Spillo; Cataldo Musto; Marco Polignano; Pasquale Lops; Marco de Gemmis; Giovanni Semeraro (UMAP, 2023)

Towards Green Recommender Systems: Investigating the Impact of Data Reduction on Carbon Footprint and Algorithm Performances. - Giuseppe Spillo; Allegra De Filippo; Cataldo Musto; Michela Milano; Giovanni Semeraro (RecSys, 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)

Evaluating Content-based Pre-Training Strategies for a Knowledge-aware Recommender System based on Graph Neural Networks. - Giuseppe Spillo; Francesco Bottalico; Cataldo Musto; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (UMAP, 2024)

Harnessing distributional semantics to build context-aware justifications for recommender systems. - Cataldo Musto; Giuseppe Spillo; Giovanni Semeraro (User Model. User Adapt. Interact., 2024)

Recommender systems based on neuro-symbolic knowledge graph embeddings encoding first-order logic rules. - Giuseppe Spillo; Cataldo Musto; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (User Model. User Adapt. Interact., 2024)

Human-Centered and Sustainable Recommender Systems. - Allegra De Filippo; Ludovico Boratto; Giuseppe Spillo (UMAP (Adjunct Publication), 2025)

Training Green and Sustainable Recommendation Models: Introducing Carbon Footprint Data into Early Stopping Criteria. - Giuseppe Spillo; Allegra De Filippo; Emanuele Fontana; Michela Milano; Giovanni Semeraro (UMAP, 2025)

GAL-KARS: Exploiting LLMs for Graph Augmentation in Knowledge-Aware Recommender Systems. - Giuseppe Spillo; Cataldo Musto; Matteo Mannavola; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (UMAP, 2025)