Giuseppe Spillo

According to our database, Giuseppe Spillo authored at least 14 papers between 2020 and 2024.

Collaborative distances:

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

2024

Harnessing distributional semantics to build context-aware justifications for recommender systems.

Cataldo Musto, Giuseppe Spillo, Giovanni Semeraro

User Model. User Adapt. Interact., July, 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

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

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

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

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

Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 2023

Combining Heterogeneous Embeddings for Knowledge-Aware Recommendation Models.

Giuseppe Spillo

Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 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

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

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

Giuseppe Spillo

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

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

Dataset, December, 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

Dataset, December, 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

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 RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

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

Proceedings of the Discussion Papers - 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022 DP), Udine, Italy, November 28, 2022

2020

Exploiting Distributional Semantics Models for Natural Language Context-aware Justifications for Recommender Systems.

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

Proceedings of the 7th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 14th ACM Conference on Recommender Systems (RecSys 2020), 2020