Diarmuid O'Reilly-Morgan

According to our database, Diarmuid O'Reilly-Morgan authored at least 12 papers between 2020 and 2026.

Collaborative distances:

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

2026

Transfer Learning via User-Item Graph Convolution for Enhanced Cross-Domain Recommendation.

Zheng Ju, Qinqin Wang, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Neil Hurley, Ruihai Dong, Aonghus Lawlor

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

2025

SplitFedEE: Balancing Communication and Accuracy.

Erika Duriakova, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Neil Hurley, Aonghus Lawlor

Proceedings of the International Conference on Visual Communications and Image Processing, 2025

NodeRec+: A Lightweight Framework for Federated Recommender Systems.

Diarmuid O'Reilly-Morgan, Erika Duriakova, Elias Z. Tragos, Neil Hurley, Aonghus Lawlor

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

2024

A Hybrid Decentralised Learning Topology for Recommendations with Improved Privacy.

Diarmuid O'Reilly-Morgan, Elias Z. Tragos, James Geraci, Qinqin Wang, Neil Hurley, Barry Smyth, Aonghus Lawlor

Proceedings of the 4th Workshop on Machine Learning and Systems, 2024

ALS Algorithm for Robust and Communication-Efficient Federated Learning.

Neil Hurley, Erika Duriakova, James Geraci, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Barry Smyth, Aonghus Lawlor

Proceedings of the 4th Workshop on Machine Learning and Systems, 2024

Entity Matching with Large Language Models as Weak and Strong Labellers.

Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Erika Duriakova, Honghui Du, Neil Hurley, Aonghus Lawlor

Proceedings of the New Trends in Database and Information Systems, 2024

2023

Keeping People Active and Healthy at Home Using a Reinforcement Learning-based Fitness Recommendation Framework.

Elias Z. Tragos, Diarmuid O'Reilly-Morgan, James Geraci, Bichen Shi, Barry Smyth, Cailbhe Doherty, Aonghus Lawlor, Neil Hurley

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Learning Domain-Independent Representations via Shared Weight Auto-Encoder for Transfer Learning in Recommender Systems.

Qinqin Wang, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Neil Hurley, Barry Smyth, Aonghus Lawlor, Ruihai Dong

IEEE Access, 2022

MARF: User-Item Mutual Aware Representation with Feedback.

Qinqin Wang, Khalil Muhammad, Diarmuid O'Reilly-Morgan, Barry Smyth, Elias Z. Tragos, Aonghus Lawlor, Neil Hurley, Ruihai Dong

Proceedings of the Web Engineering - 22nd International Conference, 2022

2020

MP4Rec: Explainable and Accurate Top-N Recommendations in Heterogeneous Information Networks.

Makbule Gulcin Ozsoy, Diarmuid O'Reilly-Morgan, Panagiotis Symeonidis, Elias Z. Tragos, Neil Hurley, Barry Smyth, Aonghus Lawlor

IEEE Access, 2020

Combining Rating and Review Data by Initializing Latent Factor Models with Topic Models for Top-N Recommendation.

Francisco J. Peña, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Neil Hurley, Erika Duriakova, Barry Smyth, Aonghus Lawlor

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems.

Khalil Muhammad, Qinqin Wang, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Barry Smyth, Neil Hurley, James Geraci, Aonghus Lawlor

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020