Diarmuid O'Reilly-Morgan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
8
Venues
8
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
8 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WSDM | 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 |
| 2025 | SIGIR | NodeRec+: A Lightweight Framework for Federated Recommender Systems. | Diarmuid O'Reilly-Morgan, Erika Duriakova, Elias Z. Tragos, Neil Hurley, Aonghus Lawlor |
| 2025 | VCIP | SplitFedEE: Balancing Communication and Accuracy. | Erika Duriakova, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Neil Hurley, Aonghus Lawlor |
| 2024 | ADBIS | 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 |
| 2023 | IJCAI | 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 |
| 2022 | ICWE | 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 |
| 2020 | KDD | 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 |
| 2020 | RecSys | Combining Rating and Review Data by Initializing Latent Factor Models with Topic Models for Top-N Recommendation. | Francisco J. Pea, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Neil Hurley, Erika Duriakova, Barry Smyth, Aonghus Lawlor |