Edoardo D'Amico
Scholar

Edoardo D'Amico

Google Scholar ID: RUOKpfgAAAAJ
Research scientist @ Spotify
Recommender systemsGraph Representation Learning
Citations & Impact
All-time
Citations
61
 
H-index
6
 
i10-index
2
 
Publications
14
 
Co-authors
14
list available
Resume (English only)
Academic Achievements
  • Paper titled “Item Graph Convolutional Collaborative Filtering” accepted as a full paper at ECIR'23; Published a paper titled “On the instability of embeddings for recommender systems: the case of matrix factorization” in the Proceedings of the 36th Annual ACM Symposium on Applied Computing, 2021; Published a paper titled “Leveraging Laziness, Browsing-Pattern Aware Stacked Models for Sequential Accommodation Learning to Rank” in the Proceedings of the Workshop on ACM Recommender Systems Challenge, 2019.
Research Experience
  • Conducting research at the Insight Centre for Data Analytics.
Education
  • PhD - University College Dublin (UCD), specializing in Artificial Intelligence, supervised by Prof. Aonghus Lawlor and Prof. Neil Hurley.
Background
  • Pursuing a PhD at University College Dublin, specializing in the field of AI with a focus on recommender system algorithms. A member of the Insight Centre for Data Analytics, working under the supervision of Prof. Aonghus Lawlor and Prof. Neil Hurley. Believes that the right mindset is key to success, embracing challenges as opportunities for growth. In free time, enjoys running, playing guitar, and constantly seeking self-improvement.
Miscellany
  • Hobbies include running and playing guitar.