Neil Hurley

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 38

Top Topics

Recommender Systems

Top Venues

Publications

Neil Hurley, Erika Duriakova, James Geraci, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Barry Smyth, Aonghus Lawlor
ALS Algorithm for Robust and Communication-Efficient Federated Learning. EuroMLSys@EuroSys (2024)
Diarmuid O'Reilly-Morgan, Elias Z. Tragos, James Geraci, Qinqin Wang, Neil Hurley, Barry Smyth, Aonghus Lawlor
A Hybrid Decentralised Learning Topology for Recommendations with Improved Privacy. EuroMLSys@EuroSys (2024)
Edoardo D'Amico, Aonghus Lawlor, Neil Hurley
Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation. CoRR (2023)
Edoardo D'Amico, Khalil Muhammad, Elias Z. Tragos, Barry Smyth, Neil Hurley, Aonghus Lawlor
Item Graph Convolution Collaborative Filtering for Inductive Recommendations. CoRR (2023)
Elias Z. Tragos, Diarmuid O'Reilly-Morgan, James Geraci, Bichen Shi, Barry Smyth, Cailbhe Doherty, Aonghus Lawlor, Neil Hurley
Keeping People Active and Healthy at Home Using a Reinforcement Learning-based Fitness Recommendation Framework. IJCAI (2023)
Aayush Singha Roy, Edoardo D'Amico, Aonghus Lawlor, Neil Hurley
Addressing Fast Changing Fashion Trends in Multi-Stage Recommender Systems. FLAIRS (2023)
Aayush Singha Roy, Edoardo D'Amico, Elias Z. Tragos, Aonghus Lawlor, Neil Hurley
Scalable Deep Q-Learning for Session-Based Slate Recommendation. RecSys (2023)
Edoardo D'Amico, Aonghus Lawlor, Neil Hurley
Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation. PAKDD (3) (2023)
Edoardo D'Amico, Khalil Muhammad, Elias Z. Tragos, Barry Smyth, Neil Hurley, Aonghus Lawlor
Item Graph Convolution Collaborative Filtering for Inductive Recommendations. ECIR (1) (2023)
Qinqin Wang, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Neil Hurley, Barry Smyth, Aonghus Lawlor, Ruihai Dong
Learning Domain-Independent Representations via Shared Weight Auto-Encoder for Transfer Learning in Recommender Systems. IEEE Access 10 (2022)
Qinqin Wang, Khalil Muhammad, Diarmuid O'Reilly-Morgan, Barry Smyth, Elias Z. Tragos, Aonghus Lawlor, Neil Hurley, Ruihai Dong
MARF: User-Item Mutual Aware Representation with Feedback. ICWE (2022)
Qinqin Wang, Elias Z. Tragos, Neil Hurley, Barry Smyth, Aonghus Lawlor, Ruihai Dong
Entity-Enhanced Graph Convolutional Network for Accurate and Explainable Recommendation. UMAP (2022)
Faisal Ghaffar, Neil Hurley
Modelling social capital: the structural hole connections game. ASONAM (2021)
Bichen Shi, Elias Z. Tragos, Makbule Gulcin Ozsoy, Ruihai Dong, Neil Hurley, Barry Smyth, Aonghus Lawlor
DARES: An Asynchronous Distributed Recommender System Using Deep Reinforcement Learning. IEEE Access 9 (2021)
Erika Duriakova, Elias Z. Tragos, Aonghus Lawlor, Barry Smyth, Neil Hurley
Boosting the Training Time of Weakly Coordinated Distributed Machine Learning. IEEE BigData (2021)
Erika Duriakova, Weipéng Huáng, Elias Z. Tragos, Aonghus Lawlor, Barry Smyth, James Geraci, Neil Hurley
An Algorithmic Framework for Decentralised Matrix Factorisation. ECML/PKDD (2) (2020)
Khalil Muhammad, Qinqin Wang, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Barry Smyth, Neil Hurley, James Geraci, Aonghus Lawlor
FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems. KDD (2020)
Weipéng Huáng, Guangyuan Piao, Raúl Moreno, Neil Hurley
Partially Observable Markov Decision Process Modelling for Assessing Hierarchies. ACML (2020)
Francisco J. Peña, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Neil Hurley, Erika Duriakova, Barry Smyth, Aonghus Lawlor
Combining Rating and Review Data by Initializing Latent Factor Models with Topic Models for Top-N Recommendation. RecSys (2020)
Makbule Gulcin Ozsoy, Diarmuid O'Reilly-Morgan, Panagiotis Symeonidis, Elias Z. Tragos, Neil Hurley, Barry Smyth, Aonghus Lawlor
MP4Rec: Explainable and Accurate Top-N Recommendations in Heterogeneous Information Networks. IEEE Access 8 (2020)
Jacek Wasilewski, Neil Hurley
Bayesian Personalized Ranking for Novelty Enhancement. UMAP (2019)
Faisal Ghaffar, Neil Hurley
Network Rewiring Dynamics to Form Clustered Strategic Networks. COMPLEX NETWORKS (2) (2019)
Weipéng Huáng, Nishma Laitonjam, Guangyuan Piao, Neil Hurley
Bayesian Hierarchical Mixture Clustering using Multilevel Hierarchical Dirichlet Processes. CoRR (2019)
Erika Duriakova, Deepak Ajwani, Neil Hurley
Engineering a Parallel Δ-stepping Algorithm. IEEE BigData (2019)
Erika Duriakova, Elias Z. Tragos, Barry Smyth, Neil Hurley, Francisco J. Peña, Panagiotis Symeonidis, James Geraci, Aonghus Lawlor
PDMFRec: a decentralised matrix factorisation with tunable user-centric privacy. RecSys (2019)
Bichen Shi, Makbule Gulcin Ozsoy, Neil Hurley, Barry Smyth, Elias Z. Tragos, James Geraci, Aonghus Lawlor
PyRecGym: a reinforcement learning gym for recommender systems. RecSys (2019)
Armita Afsharinejad, Neil Hurley
Performance Analysis of a Privacy Constrained kNN Recommendation Using Data Sketches. WSDM (2018)
Faisal Ghaffar, Teodora Sandra Buda, Haytham Assem, Armita Afsharinejad, Neil Hurley
A Framework for Enterprise Social Network Assessment and Weak Ties Recommendation. ASONAM (2018)
Deepak Ajwani, Erika Duriakova, Neil Hurley, Ulrich Meyer, Alexander Schickedanz
An Empirical Comparison of k-Shortest Simple Path Algorithms on Multicores. ICPP (2018)
Jacek Wasilewski, Neil Hurley
Intent-aware Item-based Collaborative Filtering for Personalised Diversification. UMAP (2018)
Jacek Wasilewski, Neil Hurley
Are You Reaching Your Audience?: Exploring Item Exposure over Consumer Segments in Recommender Systems. UMAP (2018)
Bichen Shi, Thanh-Binh Le, Neil Hurley, Georgiana Ifrim
Story Disambiguation: Tracking Evolving News Stories across News and Social Streams. CoRR (2018)
Bichen Shi, Gevorg Poghosyan, Georgiana Ifrim, Neil Hurley
Hashtagger+: Efficient High-Coverage Social Tagging of Streaming News. IEEE Trans. Knowl. Data Eng. 30 (1) (2018)
Faisal Ghaffar, Teodora Sandra Buda, Haytham Assem, Armita Afsharinejad, Neil Hurley
SCCD: Social Capital-Driven Career Development Framework. ASONAM (2018)
Jacek Wasilewski, Neil Hurley
How Diverse Is Your Audience? Exploring Consumer Diversity in Recommender Systems. RecSys Posters (2017)
Jacek Wasilewski, Neil Hurley
Personalised Diversification Using Intent-Aware Portfolio. UMAP (Adjunct Publication) (2017)
Jacek Wasilewski, Neil Hurley
Incorporating Diversity in a Learning to Rank Recommender System. FLAIRS Conference (2016)
Jacek Wasilewski, Neil Hurley
Intent-Aware Diversification Using a Constrained PLSA. RecSys (2016)
Erika Duriakova, Neil Hurley, Deepak Ajwani, Alessandra Sala
Analysis of the semi-synchronous approach to large-scale parallel community finding. COSN (2014)
Bichen Shi, Georgiana Ifrim, Neil Hurley
Be In The Know: Connecting News Articles to Relevant Twitter Conversations. CoRR (2014)
Bichen Shi, Georgiana Ifrim, Neil Hurley
Insight4News: Connecting News to Relevant Social Conversations. ECML/PKDD (3) (2014)
Mi Zhang, Neil Hurley, Wei Li, Xiangyang Xue
A Double-Ranking Strategy for Long-Tail Product Recommendation. Web Intelligence (2012)
Neil Hurley
Towards Diverse Recommendation. DiveRS@RecSys (2011)
Michael Farrugia, Neil Hurley, Aaron J. Quigley
SNAP: Towards a Validation of the Social Network Assembly Pipeline. ASONAM (2011)
Neil Hurley, Mi Zhang
Novelty and Diversity in Top-N Recommendation - Analysis and Evaluation. ACM Trans. Internet Techn. 10 (4) (2011)
Mi Zhang, Neil Hurley
Niche Product Retrieval in Top-N Recommendation. Web Intelligence (2010)
Zunping Cheng, Neil Hurley
Robust Collaborative Recommendation by Least Trimmed Squares Matrix Factorization. ICTAI (2) (2010)
Zunping Cheng, Neil Hurley
Analysis of robustness in trust-based recommender systems. RIAO (2010)
Mi Zhang, Neil Hurley
Evaluating the Diversity of Top-N Recommendations. ICTAI (2009)
Mi Zhang, Neil Hurley
Statistical Modeling of Diversity in Top-N Recommender Systems. Web Intelligence (2009)
Zunping Cheng, Neil Hurley
Robustness Analysis of Model-Based Collaborative Filtering Systems. AICS (2009)
Neil Hurley, Zunping Cheng, Mi Zhang
Statistical attack detection. RecSys (2009)
Zunping Cheng, Neil Hurley
Trading Robustness for Privacy in Decentralized Recommender Systems. IAAI (2009)
Zunping Cheng, Neil Hurley
Effective diverse and obfuscated attacks on model-based recommender systems. RecSys (2009)
Mi Zhang, Neil Hurley
Novel Item Recommendation by User Profile Partitioning. Web Intelligence (2009)
Mi Zhang, Neil Hurley
Avoiding monotony: improving the diversity of recommendation lists. RecSys (2008)
Neil Hurley, Mi Zhang
Analysis of Methods for Novel Case Selection. ICTAI (2) (2008)
Félix Balado, Neil Hurley, Guénolé C. M. Silvestre
Sphere-hardening dither modulation. Security, Steganography, and Watermarking of Multimedia Contents (2006)
Darach Golden, Neil Hurley, Sean McGrath
Parallel Adaptive Mesh Refinement for Large Eddy Simulation Using the Finite Element Method. PARA (1998)
Neil Hurley
Evaluating the Application of CBR in Mesh Design for Simulation Problems. ICCBR (1995)
Neil Hurley
The Use of Fuzzy Representation in a CBR System for Mesh Design. Fuzzy Logic in Artificial Intelligence (1995)
Neil Hurley
Selection of Mesh Densities for Adaptive Finite Element Analysis, Using a Case-Based Reasoning Approach. EWCBR (1993)