Giuseppe Spillo

27 papers A 11Journal 8Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Balancing carbon footprint and algorithm performance in recommender systems: A comprehensive benchmark.
Sustain. Comput. Informatics Syst.
Giuseppe Spillo, Allegra De Filippo, Cataldo Musto, Michela Milano, Giovanni Semeraro
2026 J jnl
Binge Watch: Reproducible Multimodal Benchmarks Datasets for Large-Scale Movie Recommendation on MovieLens-10M and 20M.
CoRR
Giuseppe Spillo, Alessandro Petruzzelli, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2026 J jnl
Eco-Amazon: Enriching E-commerce Datasets with Product Carbon Footprint for Sustainable Recommendations.
CoRR
Giuseppe Spillo, Allegra De Filippo, Cataldo Musto, Michela Milano, Giovanni Semeraro
2026 J jnl
Recommender systems and sustainability: a dual perspective.
Comput. Sci. Rev.
Allegra De Filippo, Giuseppe Spillo, Ludovico Boratto, Michela Milano, Cataldo Musto, Giovanni Semeraro
2025 J jnl
Comparing data reduction strategies for energy-efficient green recommender systems.
J. Intell. Inf. Syst.
Giuseppe Spillo, Allegra De Filippo, Cataldo Musto, Michela Milano, Giovanni Semeraro
2025 — conf
E-Mealio: An LLM-Powered Conversational Agent for Sustainable and Healthy Food Recommendation.
RecSoGood@RecSys
Antonio Raffaele Iacovazzi, Lorenzo Blanco, Giuseppe Spillo, Cataldo Musto
2025 — conf
Estimating Product Carbon Footprint via Large Language Models for Sustainable Recommender Systems.
RecSoGood@RecSys
Alessandro Vicenti, Cataldo Musto, Giuseppe Spillo, Allegra De Filippo, Michela Milano, Giovanni Semeraro
2025 A conf
GAL-KARS: Exploiting LLMs for Graph Augmentation in Knowledge-Aware Recommender Systems.
UMAP
Giuseppe Spillo, Cataldo Musto, Matteo Mannavola, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2025 — conf
Graph Augmentation with LLMs for Knowledge-Aware Recommender Systems.
IIR
Giuseppe Spillo, Cataldo Musto, Matteo Mannavola, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2025 — conf
Human-Centered and Sustainable Recommender Systems.
UMAP (Adjunct Publication)
Allegra De Filippo, Ludovico Boratto, Giuseppe Spillo
2025 A conf
See the Movie, Hear the Song, Read the Book: Extending MovieLens-1M, Last.fm-2K, and DBbook with Multimodal Data.
RecSys
Giuseppe Spillo, Elio Musacchio, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2025 A conf
Training Green and Sustainable Recommendation Models: Introducing Carbon Footprint Data into Early Stopping Criteria.
UMAP
Giuseppe Spillo, Allegra De Filippo, Emanuele Fontana, Michela Milano, Giovanni Semeraro
2024 A conf
Evaluating Content-based Pre-Training Strategies for a Knowledge-aware Recommender System based on Graph Neural Networks.
UMAP
Giuseppe Spillo, Francesco Bottalico, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2024 J jnl
Harnessing distributional semantics to build context-aware justifications for recommender systems.
User Model. User Adapt. Interact.
Cataldo Musto, Giuseppe Spillo, Giovanni Semeraro
2024 A conf
Improving Transformer-based Sequential Conversational Recommendations through Knowledge Graph Embeddings.
UMAP
Alessandro Petruzzelli, Alessandro Francesco Maria Martina, Giuseppe Spillo, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2024 — conf
RecSys CarbonAtor: Predicting Carbon Footprint of Recommendation System Models.
RecSoGood@RecSys
Giuseppe Spillo, Alberto Gaetano Valerio, Felice Franchini, Allegra De Filippo, Cataldo Musto, Michela Milano, Giovanni Semeraro
2024 J jnl
Recommender systems based on neuro-symbolic knowledge graph embeddings encoding first-order logic rules.
User Model. User Adapt. Interact.
Giuseppe Spillo, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2024 A conf
Towards Green Recommender Systems: Investigating the Impact of Data Reduction on Carbon Footprint and Algorithm Performances.
RecSys
Giuseppe Spillo, Allegra De Filippo, Cataldo Musto, Michela Milano, Giovanni Semeraro
2023 A conf
Combining Graph Neural Networks and Sentence Encoders for Knowledge-aware Recommendations.
UMAP
Giuseppe Spillo, Cataldo Musto, Marco Polignano, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
2023 A conf
Combining Heterogeneous Embeddings for Knowledge-Aware Recommendation Models.
UMAP
Giuseppe Spillo
2023 A conf
Knowledge-Aware Recommender Systems based on Multi-Modal Information Sources.
RecSys
Giuseppe Spillo
2023 A conf
Towards Sustainability-aware Recommender Systems: Analyzing the Trade-off Between Algorithms Performance and Carbon Footprint.
RecSys
Giuseppe Spillo, Allegra De Filippo, Cataldo Musto, Michela Milano, Giovanni Semeraro
2022 — conf
Exploiting Neuro-Symbolic Graph Embeddings based on First-Order Logical Rules for Knowledge-aware Recommendations.
DP@AI*IA
Giuseppe Spillo, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2022 A conf
Knowledge-aware Recommendations Based on Neuro-Symbolic Graph Embeddings and First-Order Logical Rules.
RecSys
Giuseppe Spillo, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2022 J jnl
The URW-KG: a Resource for Tackling the Underrepresentation of non-Western Writers.
CoRR
Marco Antonio Stranisci, Giuseppe Spillo, Cataldo Musto, Viviana Patti, Rossana Damiano
2020 — conf
Exploiting Distributional Semantics Models for Natural Language Context-aware Justifications for Recommender Systems.
CLiC-it
Giuseppe Spillo, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2020 — conf
Exploiting Distributional Semantics Models for Natural Language Context-aware Justifications for Recommender Systems.
IntRS@RecSys
Cataldo Musto, Giuseppe Spillo, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro