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Edoardo D'Amico
Edoardo D'Amico
Huawei Research
Verified email at huawei-partners.com - Homepage
Title
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Cited by
Year
Leveraging laziness, browsing-pattern aware stacked models for sequential accommodation learning to rank
E D'Amico, G Gabbolini, D Montesi, M Moreschini, F Parroni, F Piccinini, ...
Proceedings of the Workshop on ACM Recommender Systems Challenge, 1-5, 2019
122019
Item Graph Convolution Collaborative Filtering for Inductive Recommendations
E D’Amico, K Muhammad, E Tragos, B Smyth, N Hurley, A Lawlor
Advances in Information Retrieval: 45th European Conference on Information …, 2023
62023
Analyzing and improving stability of matrix factorization for recommender systems
E D’Amico, G Gabbolini, C Bernardis, P Cremonesi
Journal of Intelligent Information Systems 58 (2), 255-285, 2022
62022
On the instability of embeddings for recommender systems: the case of Matrix Factorization
G Gabbolini, E D'Amico, C Bernardis, P Cremonesi
Proceedings of the 36th Annual ACM Symposium on Applied Computing, 1363-1370, 2021
62021
Addressing Fast Changing Fashion Trends in Multi-Stage Recommender Systems
AS Roy, E D'Amico, A Lawlor, N Hurley
The International FLAIRS Conference Proceedings 36, 2023
12023
Scalable Deep Q-Learning for Session-Based Slate Recommendation
A Singha Roy, E D'Amico, E Tragos, A Lawlor, N Hurley
Proceedings of the 17th ACM Conference on Recommender Systems, 877-882, 2023
2023
Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation
E D’Amico, A Lawlor, N Hurley
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 310-321, 2023
2023
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