Neil Hurley - RankMe

78 papers A* 3A 17B 7C 4Misc 3Journal 12Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Don't Get Bored: Enhancing Scalability and Diversity in Session-Based Slate Recommendation. Trans. Recomm. Syst. Aayush Singha Roy, Edoardo D'Amico, Elias Z. Tragos, Aonghus Lawlor, Neil Hurley
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	—	`conf`	DiffGR: A Discrete Diffusion-Based Model for Personalised Recommendation by Reconstructing User-Item Bipartite Graphs. ECIR (3) Zheng Ju, Honghui Du, Elias Z. Tragos, Neil Hurley, Aonghus Lawlor
2025	Misc	`conf`	Does Energy-efficiency Mean Carbon-awareness? A Critical Evaluation of Sustainable Serverless Edge Scheduling. UCC Shaoshu Zhu, Neil Hurley, Hadi Tabatabaee Malazi
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	A	`conf`	SlateLLM: Distilling LLM Semantics into Session-Aware Slate Recommendation without Inference Overhead. RecSys Aayush Singha Roy, Elias Z. Tragos, Aonghus Lawlor, Neil Hurley
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
2024	A	`conf`	Exploring Coresets for Efficient Training and Consistent Evaluation of Recommender Systems. RecSys Zheng Ju, Honghui Du, Elias Z. Tragos, Neil Hurley, Aonghus Lawlor
2024	A	`conf`	RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models. CIKM Dairui Liu, Boming Yang, Honghui Du, Derek Greene, Neil Hurley, Aonghus Lawlor, Ruihai Dong, Irene Li
2024	—	`conf`	Simulating Real-World News Consumption: Deep Q-Learning for Diverse User-Centric Slate Recommendations. INRA@RecSys Aayush Singha Roy, Elias Z. Tragos, Aonghus Lawlor, Neil Hurley
2024	J	`jnl`	Transformers4NewsRec: A Transformer-based News Recommendation Framework. CoRR Dairui Liu, Honghui Du, Boming Yang, Neil Hurley, Aonghus Lawlor, Irene Li, Derek Greene, Ruihai Dong
2023	Misc	`conf`	Addressing Fast Changing Fashion Trends in Multi-Stage Recommender Systems. FLAIRS Aayush Singha Roy, Edoardo D'Amico, Aonghus Lawlor, Neil Hurley
2023	—	`conf`	Item Graph Convolution Collaborative Filtering for Inductive Recommendations. ECIR (1) Edoardo D'Amico, Khalil Muhammad, Elias Z. Tragos, Barry Smyth, Neil Hurley, Aonghus Lawlor
2023	J	`jnl`	Item Graph Convolution Collaborative Filtering for Inductive Recommendations. CoRR Edoardo D'Amico, Khalil Muhammad, Elias Z. Tragos, Barry Smyth, 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
2023	—	`conf`	Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation. PAKDD (3) Edoardo D'Amico, Aonghus Lawlor, Neil Hurley
2023	J	`jnl`	Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation. CoRR Edoardo D'Amico, Aonghus Lawlor, Neil Hurley
2023	A	`conf`	Scalable Deep Q-Learning for Session-Based Slate Recommendation. RecSys Aayush Singha Roy, Edoardo D'Amico, Elias Z. Tragos, Aonghus Lawlor, Neil Hurley
2022	A	`conf`	Entity-Enhanced Graph Convolutional Network for Accurate and Explainable Recommendation. UMAP Qinqin Wang, Elias Z. Tragos, Neil Hurley, Barry Smyth, Aonghus Lawlor, Ruihai Dong
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
2022	—	`ch.`	Novelty and Diversity in Recommender Systems. Recommender Systems Handbook Pablo Castells, Neil Hurley, Saúl Vargas
2021	—	`conf`	Boosting the Training Time of Weakly Coordinated Distributed Machine Learning. IEEE BigData Erika Duriakova, Elias Z. Tragos, Aonghus Lawlor, Barry Smyth, Neil Hurley
2021	J	`jnl`	DARES: An Asynchronous Distributed Recommender System Using Deep Reinforcement Learning. IEEE Access Bichen Shi, Elias Z. Tragos, Makbule Gulcin Ozsoy, Ruihai Dong, Neil Hurley, Barry Smyth, Aonghus Lawlor
2021	B	`conf`	Modelling social capital: the structural hole connections game. ASONAM Faisal Ghaffar, Neil Hurley
2020	—	`conf`	An Algorithmic Framework for Decentralised Matrix Factorisation. ECML/PKDD (2) Erika Duriakova, Weipéng Huáng, Elias Z. Tragos, Aonghus Lawlor, Barry Smyth, James Geraci, Neil Hurley
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
2020	C	`conf`	Partially Observable Markov Decision Process Modelling for Assessing Hierarchies. ACML Weipéng Huáng, Guangyuan Piao, Raúl Moreno, Neil Hurley
2019	J	`jnl`	Bayesian Hierarchical Mixture Clustering using Multilevel Hierarchical Dirichlet Processes. CoRR Weipéng Huáng, Nishma Laitonjam, Guangyuan Piao, Neil Hurley
2019	A	`conf`	Bayesian Personalized Ranking for Novelty Enhancement. UMAP Jacek Wasilewski, Neil Hurley
2019	—	`conf`	Engineering a Parallel Δ-stepping Algorithm. IEEE BigData Erika Duriakova, Deepak Ajwani, Neil Hurley
2019	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part I ECML/PKDD (1) Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, Georgiana Ifrim
2019	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part II ECML/PKDD (2) Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, Georgiana Ifrim
2019	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part III ECML/PKDD (3) Ulf Brefeld, Edward Curry, Elizabeth Daly, Brian MacNamee, Alice Marascu, Fabio Pinelli, Michele Berlingerio, Neil Hurley
2019	—	`conf`	Network Rewiring Dynamics to Form Clustered Strategic Networks. COMPLEX NETWORKS (2) Faisal Ghaffar, Neil Hurley
2019	A	`conf`	PDMFRec: a decentralised matrix factorisation with tunable user-centric privacy. RecSys Erika Duriakova, Elias Z. Tragos, Barry Smyth, Neil Hurley, Francisco J. Peña, Panagiotis Symeonidis, James Geraci, Aonghus Lawlor
2019	A	`conf`	PyRecGym: a reinforcement learning gym for recommender systems. RecSys Bichen Shi, Makbule Gulcin Ozsoy, Neil Hurley, Barry Smyth, Elias Z. Tragos, James Geraci, Aonghus Lawlor
2018	B	`conf`	A Framework for Enterprise Social Network Assessment and Weak Ties Recommendation. ASONAM Faisal Ghaffar, Teodora Sandra Buda, Haytham Assem, Armita Afsharinejad, Neil Hurley
2018	B	`conf`	An Empirical Comparison of k-Shortest Simple Path Algorithms on Multicores. ICPP Deepak Ajwani, Erika Duriakova, Neil Hurley, Ulrich Meyer, Alexander Schickedanz
2018	A	`conf`	Are You Reaching Your Audience?: Exploring Item Exposure over Consumer Segments in Recommender Systems. UMAP Jacek Wasilewski, Neil Hurley
2018	J	`jnl`	Hashtagger+: Efficient High-Coverage Social Tagging of Streaming News. IEEE Trans. Knowl. Data Eng. Bichen Shi, Gevorg Poghosyan, Georgiana Ifrim, Neil Hurley
2018	A	`conf`	Intent-aware Item-based Collaborative Filtering for Personalised Diversification. UMAP Jacek Wasilewski, Neil Hurley
2018	A	`conf`	Performance Analysis of a Privacy Constrained kNN Recommendation Using Data Sketches. WSDM Armita Afsharinejad, Neil Hurley
2018	B	`conf`	SCCD: Social Capital-Driven Career Development Framework. ASONAM Faisal Ghaffar, Teodora Sandra Buda, Haytham Assem, Armita Afsharinejad, Neil Hurley
2018	J	`jnl`	Story Disambiguation: Tracking Evolving News Stories across News and Social Streams. CoRR Bichen Shi, Thanh-Binh Le, Neil Hurley, Georgiana Ifrim
2017	—	`conf`	How Diverse Is Your Audience? Exploring Consumer Diversity in Recommender Systems. RecSys Posters Jacek Wasilewski, Neil Hurley
2017	—	`conf`	Personalised Diversification Using Intent-Aware Portfolio. UMAP (Adjunct Publication) Jacek Wasilewski, Neil Hurley
2016	Misc	`conf`	Incorporating Diversity in a Learning to Rank Recommender System. FLAIRS Jacek Wasilewski, Neil Hurley
2016	A	`conf`	Intent-Aware Diversification Using a Constrained PLSA. RecSys Jacek Wasilewski, Neil Hurley
2014	—	`conf`	Analysis of the semi-synchronous approach to large-scale parallel community finding. COSN Erika Duriakova, Neil Hurley, Deepak Ajwani, Alessandra Sala
2014	J	`jnl`	Be In The Know: Connecting News Articles to Relevant Twitter Conversations. CoRR Bichen Shi, Georgiana Ifrim, Neil Hurley
2014	—	`conf`	Insight4News: Connecting News to Relevant Social Conversations. ECML/PKDD (3) Bichen Shi, Georgiana Ifrim, Neil Hurley
2013	—	`ch.`	SAINT: Supervised Actor Identification for Network Tuning. Mining Social Networks and Security Informatics Michael Farrugia, Neil Hurley, Aaron J. Quigley
2012	—	`conf`	A Double-Ranking Strategy for Long-Tail Product Recommendation. Web Intelligence Mi Zhang, Neil Hurley, Wei Li, Xiangyang Xue
2011	J	`jnl`	Novelty and Diversity in Top-N Recommendation - Analysis and Evaluation. ACM Trans. Internet Techn. Neil Hurley, Mi Zhang
2011	B	`conf`	SNAP: Towards a Validation of the Social Network Assembly Pipeline. ASONAM Michael Farrugia, Neil Hurley, Aaron J. Quigley
2011	—	`conf`	Towards Diverse Recommendation. DiveRS@RecSys Neil Hurley
2010	—	`conf`	Analysis of robustness in trust-based recommender systems. RIAO Zunping Cheng, Neil Hurley
2010	—	`conf`	Niche Product Retrieval in Top-N Recommendation. Web Intelligence Mi Zhang, Neil Hurley
2010	—	`conf`	Robust Collaborative Recommendation by Least Trimmed Squares Matrix Factorization. ICTAI (2) Zunping Cheng, Neil Hurley
2009	A	`conf`	Effective diverse and obfuscated attacks on model-based recommender systems. RecSys Zunping Cheng, Neil Hurley
2009	B	`conf`	Evaluating the Diversity of Top-N Recommendations. ICTAI Mi Zhang, Neil Hurley
2009	—	`conf`	Novel Item Recommendation by User Profile Partitioning. Web Intelligence Mi Zhang, Neil Hurley
2009	—	`conf`	Robustness Analysis of Model-Based Collaborative Filtering Systems. AICS Zunping Cheng, Neil Hurley
2009	—	`conf`	Statistical Modeling of Diversity in Top-N Recommender Systems. Web Intelligence Mi Zhang, Neil Hurley
2009	A	`conf`	Statistical attack detection. RecSys Neil Hurley, Zunping Cheng, Mi Zhang
2009	C	`conf`	Trading Robustness for Privacy in Decentralized Recommender Systems. IAAI Zunping Cheng, Neil Hurley
2008	—	`conf`	Analysis of Methods for Novel Case Selection. ICTAI (2) Neil Hurley, Mi Zhang
2008	A	`conf`	Avoiding monotony: improving the diversity of recommendation lists. RecSys Mi Zhang, Neil Hurley
2006	—	`conf`	Sphere-hardening dither modulation. Security, Steganography, and Watermarking of Multimedia Contents Félix Balado, Neil Hurley, Guénolé C. M. Silvestre
1998	—	`conf`	Parallel Adaptive Mesh Refinement for Large Eddy Simulation Using the Finite Element Method. PARA Darach Golden, Neil Hurley, Sean McGrath
1995	C	`conf`	Evaluating the Application of CBR in Mesh Design for Simulation Problems. ICCBR Neil Hurley
1995	—	`conf`	The Use of Fuzzy Representation in a CBR System for Mesh Design. Fuzzy Logic in Artificial Intelligence Neil Hurley