Giuseppe Spillo

PhD Student

University of Bari Aldo Moro
Department of Computer Science
Via E.Orabona, 4 - 70126 BARI, Italy
Phone: +39 080 5442298
e-mail: giuseppe.spillo@uniba.it

Research Interests | Short CV | Summer Schools | Publications | Conferences | Tools

Main Research Interests

• Knowledge-Aware Recommender Systems
• Knowledge Graphs
• Knowledge Graph Embedding Techniques

Short CV

• 2016, July: High School Diploma at Istituto Tecnico Industriale Statale "Luigi Dell'Erba", Castellana Grotte, Computer Science and Telecommunications. Graduation mark: 100/100 cum Laude.
• 2019, October: Bachelor Degree in "Computer Science and Software Production Technologies" at University of Bari "Aldo Moro". Title of the thesis: Exploiting Distributional Semantics to Generate Context-Aware Explanations for Recommender Systems. Supervisor: Prof. Cataldo Musto. Graduation mark: 110/110 cum Laude.
• 2022, April: Master Degree in "Computer Science", curriculum "Knowledge Engineering and Machine Intelligence" at University of Bari "Aldo Moro". Title of the thesis: Neuro-Symbolic Recommender Systems combining Graph Embeddings and First-Order Logic Rules. Supervisors: Prof. Giovanni Semeraro, Prof. Cataldo Musto. Graduation mark: 110/110 cum Laude.

Publications

• Musto, C., Spillo, G., de Gemmis, M., Lops, P., Semeraro, G. (2020). Exploiting Distributional Semantics Models for Natural Language Context-aware Justifications for Recommender Systems. In IntRS@ RecSys (pp. 65-71).
• Spillo, G., Musto, C., de Gemmis, M., Lops, P., Semeraro, G. (2020). Exploiting Distributional Semantics Models for Natural Language Context-aware Justifications for Recommender Systems. Computational Linguistics CLiC-it 2020, 394
• Spillo, G., Musto, C., De Gemmis, M., Lops, P., Semeraro, G. (2022). Knowledge-aware Recommendations Based on Neuro-Symbolic Graph Embeddings and First-Order Logical Rules. In Proceedings of the 16th ACM Conference on Recommender Systems (pp. 616-621).
• Spillo, G., Musto, C., de Gemmis, M., Lops, P., Semeraro, G. (2022). Exploiting Neuro-Symbolic Graph Embeddings based on First-Order Logical Rules for Knowledge-aware Recommendations. In Proceedings of the 21st International Conference of the Italian Association for Artificial Intelligence. AIxIA 2022, Udine.
• Spillo, G. (2022). Knowledge-aware Recommendation Algorithms Combining Graph and Word Embeddings. Doctoral Consortium, 21st International Conference of the Italian Association for Artificial Intelligence. AIxIA 2022, Udine.

Conferences

• 2020/09/26: RecSys 20: 14th ACM Conference on Recommender Systems (Online), 2020. Role: participant.
• 2021/03/01: CLIC-IT 2020 - Seventh Italian Conference on Computational Linguistics, ALIC - Associazione Italiana di Linguistica Computazionale, Bologna (Online conference). Role: speaker
• 2022/09/22: RecSys 22: 16th ACM Conference on Recommender Systems, 2022. Role: participant, online student volunteer.
• 2022/11/28: AIxIA 22: 21st International Conference of the Italian Association for Artificial Intelligence. Role: speaker at Doctoral Consortium session
• 2022/11/29: AIxIA 22: 21st International Conference of the Italian Association for Artificial Intelligence. Role: speaker at Main Track session