Edoardo D'Amico

Hey there ! Thanks for dropping by !

My name is Edoardo D’Amico and I’m currently pursuing a PhD at the University College of Dublin where I am specializing in the field of A.I. with a focus on recommender systems algorithms.

I’m a member of the Insight Centre for Data Analytics and I’m currently working under the supervision of Prof. Aonghus Lawlor and Prof. Neil Hurley.

I believe the right mindset is key to achieving success in any aspect of life. I embrace challenges and difficulties as opportunities to learn and grow, and in my free time, I indulge in my hobbies and interests such as running and playing guitar while constantly seeking ways to improve myself.

With a strong work ethic and a growth mindset, I am determined to make a meaningful impact in the field of artificial intelligence. Whether it’s through my academic or my personal pursuits.

I am always striving to be the best version of myself.

News

Dec 12, 2022	I am thrilled to announce that my paper, titled “Item Graph Convolutional Collaborative Filtering,” has been accepted as a full paper at ECIR’23 ! 🎉🎉🎉

Selected publications

SAC

On the instability of embeddings for recommender systems: the case of matrix factorization

Edoardo D’Amico*, Giovanni Gabbolini*, Cesare Bernardis, and 1 more author

In Proceedings of the 36th Annual ACM Symposium on Applied Computing, 2021

Bib HTML

@inproceedings{gabbolini2021instability,
  title = {On the instability of embeddings for recommender systems: the case of matrix factorization},
  author = {D'Amico*, Edoardo and Gabbolini*, Giovanni and Bernardis, Cesare and Cremonesi, Paolo},
  booktitle = {Proceedings of the 36th Annual ACM Symposium on Applied Computing},
  pages = {1363--1370},
  year = {2021},
}

RecSys

Leveraging Laziness, Browsing-Pattern Aware Stacked Models for Sequential Accommodation Learning to Rank

Edoardo D’Amico, Giovanni Gabbolini, Daniele Montesi, and 7 more authors

In Proceedings of the Workshop on ACM Recommender Systems Challenge, 2019

Bib HTML

@inproceedings{damico2019leveraging,
  author = {D'Amico, Edoardo and Gabbolini, Giovanni and Montesi, Daniele and Moreschini, Matteo and Parroni, Federico and Piccinini, Federico and Rossettini, Alberto and Introito, Alessio Russo and Bernardis, Cesare and Ferrari Dacrema, Maurizio},
  title = {Leveraging Laziness, Browsing-Pattern Aware Stacked Models for Sequential Accommodation Learning to Rank},
  year = {2019},
  isbn = {9781450376679},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  url = {https://doi.org/10.1145/3359555.3359563},
  doi = {10.1145/3359555.3359563},
  booktitle = {Proceedings of the Workshop on ACM Recommender Systems Challenge},
  articleno = {7},
  numpages = {5},
  keywords = {recommender systems, stacking ensemble, feature engineering, learning to rank, ACM RecSys challenge 2019},
  location = {Copenhagen, Denmark},
  series = {RecSys Challenge '19},
}