Publications

Selected research papers and preprints

2025

Gotta Embed Them All! - Knowledge-aware Recommendations Fusing Heterogeneous Multi-Modal Item Embeddings

Giuseppe Spillo, Elio Musacchio, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro

Journal of Intelligent Information Systems, pp. 1–27. Springer.

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Comparing Data Reduction Strategies for Energy-Efficient Green Recommender Systems

Giuseppe Spillo, Allegra De Filippo, Cataldo Musto, Michela Milano, Giovanni Semeraro

Journal of Intelligent Information Systems, pp. 1–27. Springer.

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See the Movie, Hear the Song, Read the Book: Extending MovieLens-1M, Last.fm-2K, and DBbook with Multimodal Data

Giuseppe Spillo, Elio Musacchio, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro

Proceedings of the 19th ACM Conference on Recommender Systems, pp. 847–856.

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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

Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, pp. 341–346.

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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

Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, pp. 73–82.

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Human-Centered and Sustainable Recommender Systems (Tutorial)

Allegra De Filippo, Ludovico Boratto, Giuseppe Spillo

Adjunt Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, pp. 10-12.

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E-Mealio: An LLM-Powered Conversational Agent for Sustainable and Healthy Food Recommendation

Antonio Raffaele Iacovazzi, Lorenzo Blanco, Giuseppe Spillo, Cataldo Musto

Second International Workshop on Recommender Systems for Sustainability and Social Good. In press.

In press

Estimating Product Carbon Footprint via Large Language Models for Sustainable Recommender Systems

Alessandro Vicenti, Cataldo Musto, Giuseppe Spillo, Allegra De Filippo, Michela Milano, Giovanni Semeraro

Second International Workshop on Recommender Systems for Sustainability and Social Good. In press.

In press

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 Modeling and User-Adapted Interaction 34(5), pp. 2039–2083. Springer.

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Towards Green Recommender Systems: Investigating the Impact of Data Reduction on Carbon Footprint and Model Performances

Giuseppe Spillo, Allegra De Filippo, Cataldo Musto, Michela Milano, Giovanni Semeraro

Proceedings of the 18th ACM Conference on Recommender Systems.

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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

Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, pp. 165–171.

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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, pp. 172–182.

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Recsys CarbonAtor: Predicting Carbon Footprint of Recommendation System Models

Giuseppe Spillo, Alberto Gaetano Valerio, Felice Franchini, Allegra De Filippo, Cataldo Musto, Michela Milano, Giovanni Semeraro

International Workshop on Recommender Systems for Sustainability and Social Good, Springer, pp. 98–110.

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2023

Harnessing Distributional Semantics to Build Context-aware Justifications for Recommender Systems

Cataldo Musto, Giuseppe Spillo, Giovanni Semeraro, et al.

User Modeling and User-Adapted Interaction. Springer.

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Knowledge-Aware Recommender Systems based on Multi-Modal Information Sources

Giuseppe Spillo

Proceedings of the 17th ACM Conference on Recommender Systems, pp. 1312–1317.

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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

Proceedings of the 17th ACM Conference on Recommender Systems, pp. 856–862.

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Combining Heterogeneous Embeddings for Knowledge-Aware Recommendation Models

Giuseppe Spillo

Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, pp. 269–273.

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Combining Graph Neural Networks and Sentence Encoders for Knowledge-aware Recommendations

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

Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, pp. 1–12.

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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

Proceedings of the 16th ACM Conference on Recommender Systems, pp. 616–621.

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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, pp. 1–11.

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