Diarmuid O'Reilly-Morgan

12 papers A* 3A 2B 1C 1Journal 2Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A conf
Transfer Learning via User-Item Graph Convolution for Enhanced Cross-Domain Recommendation.
WSDM
Zheng Ju, Qinqin Wang, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Neil Hurley, Ruihai Dong, Aonghus Lawlor
2025 A* conf
NodeRec+: A Lightweight Framework for Federated Recommender Systems.
SIGIR
Diarmuid O'Reilly-Morgan, Erika Duriakova, Elias Z. Tragos, Neil Hurley, Aonghus Lawlor
2025 C conf
SplitFedEE: Balancing Communication and Accuracy.
VCIP
Erika Duriakova, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Neil Hurley, Aonghus Lawlor
2024 — conf
A Hybrid Decentralised Learning Topology for Recommendations with Improved Privacy.
EuroMLSys@EuroSys
Diarmuid O'Reilly-Morgan, Elias Z. Tragos, James Geraci, Qinqin Wang, Neil Hurley, Barry Smyth, Aonghus Lawlor
2024 — conf
ALS Algorithm for Robust and Communication-Efficient Federated Learning.
EuroMLSys@EuroSys
Neil Hurley, Erika Duriakova, James Geraci, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Barry Smyth, Aonghus Lawlor
2024 — conf
Entity Matching with Large Language Models as Weak and Strong Labellers.
ADBIS (Short Papers)
Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Erika Duriakova, Honghui Du, Neil Hurley, Aonghus Lawlor
2023 A* conf
Keeping People Active and Healthy at Home Using a Reinforcement Learning-based Fitness Recommendation Framework.
IJCAI
Elias Z. Tragos, Diarmuid O'Reilly-Morgan, James Geraci, Bichen Shi, Barry Smyth, Cailbhe Doherty, Aonghus Lawlor, Neil Hurley
2022 J jnl
Learning Domain-Independent Representations via Shared Weight Auto-Encoder for Transfer Learning in Recommender Systems.
IEEE Access
Qinqin Wang, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Neil Hurley, Barry Smyth, Aonghus Lawlor, Ruihai Dong
2022 B conf
MARF: User-Item Mutual Aware Representation with Feedback.
ICWE
Qinqin Wang, Khalil Muhammad, Diarmuid O'Reilly-Morgan, Barry Smyth, Elias Z. Tragos, Aonghus Lawlor, Neil Hurley, Ruihai Dong
2020 A conf
Combining Rating and Review Data by Initializing Latent Factor Models with Topic Models for Top-N Recommendation.
RecSys
Francisco J. Peña, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Neil Hurley, Erika Duriakova, Barry Smyth, Aonghus Lawlor
2020 A* conf
FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems.
KDD
Khalil Muhammad, Qinqin Wang, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Barry Smyth, Neil Hurley, James Geraci, Aonghus Lawlor
2020 J jnl
MP4Rec: Explainable and Accurate Top-N Recommendations in Heterogeneous Information Networks.
IEEE Access
Makbule Gulcin Ozsoy, Diarmuid O'Reilly-Morgan, Panagiotis Symeonidis, Elias Z. Tragos, Neil Hurley, Barry Smyth, Aonghus Lawlor