Neil J. Hurley

Orcid: 0000-0001-8428-2866

Affiliations:
  • University College Dublin, Dublin, Ireland


According to our database1, Neil J. Hurley authored at least 145 papers between 1991 and 2024.

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Bibliography

2024
Transformers4NewsRec: A Transformer-based News Recommendation Framework.
CoRR, 2024

Exploring Coresets for Efficient Training and Consistent Evaluation of Recommender Systems.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

A Hybrid Decentralised Learning Topology for Recommendations with Improved Privacy.
Proceedings of the 4th Workshop on Machine Learning and Systems, 2024

ALS Algorithm for Robust and Communication-Efficient Federated Learning.
Proceedings of the 4th Workshop on Machine Learning and Systems, 2024

RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Scalable Deep Q-Learning for Session-Based Slate Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Keeping People Active and Healthy at Home Using a Reinforcement Learning-based Fitness Recommendation Framework.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Addressing Fast Changing Fashion Trends in Multi-Stage Recommender Systems.
Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

Item Graph Convolution Collaborative Filtering for Inductive Recommendations.
Proceedings of the Advances in Information Retrieval, 2023

2022
Novelty and Diversity in Recommender Systems.
Proceedings of the Recommender Systems Handbook, 2022

Learning Domain-Independent Representations via Shared Weight Auto-Encoder for Transfer Learning in Recommender Systems.
IEEE Access, 2022

Entity-Enhanced Graph Convolutional Network for Accurate and Explainable Recommendation.
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

MARF: User-Item Mutual Aware Representation with Feedback.
Proceedings of the Web Engineering - 22nd International Conference, 2022

2021
Posterior Regularisation on Bayesian Hierarchical Mixture Clustering.
CoRR, 2021

DARES: An Asynchronous Distributed Recommender System Using Deep Reinforcement Learning.
IEEE Access, 2021

Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Boosting the Training Time of Weakly Coordinated Distributed Machine Learning.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Modelling social capital: the structural hole connections game.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020
MP4Rec: Explainable and Accurate Top-N Recommendations in Heterogeneous Information Networks.
IEEE Access, 2020

Combining Rating and Review Data by Initializing Latent Factor Models with Topic Models for Top-N Recommendation.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

An Algorithmic Framework for Decentralised Matrix Factorisation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Scalable Inference on the Soft Affiliation Graph Model for Overlapping Community Detection.
Proceedings of The 12th Asian Conference on Machine Learning, 2020

Partially Observable Markov Decision Process Modelling for Assessing Hierarchies.
Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019
Evaluating Hierarchies through A Partially Observable Markov Decision Processes Methodology.
CoRR, 2019

Bayesian Hierarchical Mixture Clustering using Multilevel Hierarchical Dirichlet Processes.
CoRR, 2019

Bayesian Personalized Ranking for Novelty Enhancement.
Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, 2019

PyRecGym: a reinforcement learning gym for recommender systems.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

PDMFRec: a decentralised matrix factorisation with tunable user-centric privacy.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

A Soft Affiliation Graph Model for Scalable Overlapping Community Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Network Rewiring Dynamics to Form Clustered Strategic Networks.
Proceedings of the Complex Networks and Their Applications VIII, 2019

Engineering a Parallel Δ-stepping Algorithm.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Hashtagger+: Efficient High-Coverage Social Tagging of Streaming News.
IEEE Trans. Knowl. Data Eng., 2018

Story Disambiguation: Tracking Evolving News Stories across News and Social Streams.
CoRR, 2018

Performance Analysis of a Privacy Constrained kNN Recommendation Using Data Sketches.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Are You Reaching Your Audience?: Exploring Item Exposure over Consumer Segments in Recommender Systems.
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018

Intent-aware Item-based Collaborative Filtering for Personalised Diversification.
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018

An Empirical Comparison of k-Shortest Simple Path Algorithms on Multicores.
Proceedings of the 47th International Conference on Parallel Processing, 2018

SCCD: Social Capital-Driven Career Development Framework.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

A Framework for Enterprise Social Network Assessment and Weak Ties Recommendation.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Robustness and Attacks on Recommenders.
Proceedings of the Collaborative Recommendations, 2018

2017
Personalised Diversification Using Intent-Aware Portfolio.
Proceedings of the Adjunct Publication of the 25th Conference on User Modeling, 2017

How Diverse Is Your Audience? Exploring Consumer Diversity in Recommender Systems.
Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017), 2017

Evaluation of Hierarchical Clustering via Markov Decision Processes for Efficient Navigation and Search.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2017

2016
Learning-to-Rank for Real-Time High-Precision Hashtag Recommendation for Streaming News.
Proceedings of the 25th International Conference on World Wide Web, 2016

Intent-Aware Diversification Using a Constrained PLSA.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Incorporating Diversity in a Learning to Rank Recommender System.
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

An information theoretic approach to generalised blockmodelling for the identification of meso-scale structure in networks.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
Novelty and Diversity in Recommender Systems.
Proceedings of the Recommender Systems Handbook, 2015

Robust Collaborative Recommendation.
Proceedings of the Recommender Systems Handbook, 2015

Reformulations of the Map Equation for Community Finding and Blockmodelling.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
Visualization of trends in subscriber attributes of communities on mobile telecommunications networks.
Soc. Netw. Anal. Min., 2014

Be In The Know: Connecting News Articles to Relevant Twitter Conversations.
CoRR, 2014

Insight4News: Connecting News to Relevant Social Conversations.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Analysis of the semi-synchronous approach to large-scale parallel community finding.
Proceedings of the second ACM conference on Online social networks, 2014

Overlapping Stochastic Community Finding.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013
Partitioning Breaks Communities.
Proceedings of the Mining Social Networks and Security Informatics, 2013

SAINT: Supervised Actor Identification for Network Tuning.
Proceedings of the Mining Social Networks and Security Informatics, 2013

Improved Bayesian inference for the stochastic block model with application to large networks.
Comput. Stat. Data Anal., 2013

Personalised ranking with diversity.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

ChurnVis: visualizing mobile telecommunications churn on a social network with attributes.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
Model-based clustering in networks with Stochastic Community Finding
CoRR, 2012

A Double-Ranking Strategy for Long-Tail Product Recommendation.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

EgoNav: exploring networks through egocentric spatializations.
Proceedings of the International Working Conference on Advanced Visual Interfaces, 2012

Percolation Computation in Complex Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011
Robust Collaborative Recommendation.
Proceedings of the Recommender Systems Handbook, 2011

Novelty and Diversity in Top-N Recommendation - Analysis and Evaluation.
ACM Trans. Internet Techn., 2011

Normalized Mutual Information to evaluate overlapping community finding algorithms
CoRR, 2011

Diffusion in Complex Networks With Overlapping Community Structure
CoRR, 2011

Seeding for pervasively overlapping communities
CoRR, 2011

Towards Diverse Recommendation.
Proceedings of the Workshop on Novelty and Diversity in Recommender Systems, 2011

Robustness of recommender systems.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

Diffusion in Networks with Overlapping Community Structure.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Analysing structure in complex networks using quality functions evolved by genetic programming.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

ThemeCrowds: multiresolution summaries of twitter usage.
Proceedings of the 3rd International CIKM Workshop on Search and Mining User-Generated Contents, 2011

Partitioning Breaks Communities.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

SNAP: Towards a Validation of the Social Network Assembly Pipeline.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

2010
Partitioning large networks without breaking communities.
Knowl. Inf. Syst., 2010

Using Model-based Overlapping Seed Expansion to detect highly overlapping community structure
CoRR, 2010

Niche Product Retrieval in Top-N Recommendation.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

Analysis of robustness in trust-based recommender systems.
Proceedings of the Recherche d'Information Assistée par Ordinateur, 2010

Robust Collaborative Recommendation by Least Trimmed Squares Matrix Factorization.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

Detecting Highly Overlapping Communities with Model-Based Overlapping Seed Expansion.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2010

2009
Novel Item Recommendation by User Profile Partitioning.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

Statistical Modeling of Diversity in Top-N Recommender Systems.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

What Have the Neighbours Ever Done for Us? A Collaborative Filtering Perspective.
Proceedings of the User Modeling, 2009

Statistical attack detection.
Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Effective diverse and obfuscated attacks on model-based recommender systems.
Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Evaluating the Diversity of Top-N Recommendations.
Proceedings of the ICTAI 2009, 2009

Trading Robustness for Privacy in Decentralized Recommender Systems.
Proceedings of the Twenty-First Conference on Innovative Applications of Artificial Intelligence, 2009

Robustness Analysis of Model-Based Collaborative Filtering Systems.
Proceedings of the Artificial Intelligence and Cognitive Science - 20th Irish Conference, 2009

2008
Markov Modelling of Fingerprinting Systems for Collision Analysis.
EURASIP J. Inf. Secur., 2008

Avoiding monotony: improving the diversity of recommendation lists.
Proceedings of the 2008 ACM Conference on Recommender Systems, 2008

Analysis of Methods for Novel Case Selection.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

2007
Performance Analysis of Robust Audio Hashing.
IEEE Trans. Inf. Forensics Secur., 2007

A Two-Dimensional Extension of the Mueller and Müller Timing Error Detector.
IEEE Signal Process. Lett., 2007

Attacking Recommender Systems: A Cost-Benefit Analysis.
IEEE Intell. Syst., 2007

Performance of Philips Audio Fingerprinting under Desynchronisation.
Proceedings of the 8th International Conference on Music Information Retrieval, 2007

Hierarchical Policy-Based Replication.
Proceedings of the 26th IEEE International Performance Computing and Communications Conference, 2007

Performance of Philips Audio Fingerprinting Under Additive Noise.
Proceedings of the IEEE International Conference on Acoustics, 2007

Autonomic distributed data management with update accesses.
Proceedings of the 1st International Conference on Autonomic Computing and Communication Systems, 2007

2006
New results on robustness of secure steganography.
Proceedings of the Security, Steganography, and Watermarking of Multimedia Contents VIII, 2006

Sphere-hardening dither modulation.
Proceedings of the Security, Steganography, and Watermarking of Multimedia Contents VIII, 2006

Autonomic Replication of Management Data Evaluation of a Market-based Approach.
Proceedings of the Management of Integrated End-to-End Communications and Services, 2006

Detecting noise in recommender system databases.
Proceedings of the 11th International Conference on Intelligent User Interfaces, 2006

PLL-Based Synchronization of Dither-Modulation Data Hiding.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
Joint iterative decoding and estimation for side-informed data hiding.
IEEE Trans. Signal Process., 2005

Iterative estimation of amplitude scaling on distortion-compensated dither modulation.
Proceedings of the Security, Steganography, and Watermarking of Multimedia Contents VII, 2005

An investigation of robustness in nonlinear audio watermarking.
Proceedings of the Security, Steganography, and Watermarking of Multimedia Contents VII, 2005

A model for improving the performance of feature-extraction-based robust hashing.
Proceedings of the Security, Steganography, and Watermarking of Multimedia Contents VII, 2005

ML detection of steganography.
Proceedings of the Security, Steganography, and Watermarking of Multimedia Contents VII, 2005

Modelling Data Access for a Distributed Network Management System.
Proceedings of the 13th International Symposium on Modeling, 2005

On the Achievable Rate of Side Informed Embedding Techniques with Steganographic Constraints.
Proceedings of the Digital Watermarking, 4th International Workshop, 2005

Dither Modulation Watermarking of Dynamic Memory Traces.
Proceedings of the Information Hiding, 7th International Workshop, 2005

Iterative decoding of scale invariant image data-hiding.
Proceedings of the 2005 International Conference on Image Processing, 2005

Simulation of DSP algorithms on fixed point architectures.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Single-trial EEG classification for brain-computer interface using wavelet decomposition.
Proceedings of the 13th European Signal Processing Conference, 2005

Recommender Systems: Attack Types and Strategies.
Proceedings of the Proceedings, 2005

2004
Collaborative recommendation: A robustness analysis.
ACM Trans. Internet Techn., 2004

Simulation of the USP drug delivery problem using CFD: experimental, numerical and mathematical aspects.
Simul. Model. Pract. Theory, 2004

An Evaluation of Neighbourhood Formation on the Performance of Collaborative Filtering.
Artif. Intell. Rev., 2004

Error correction coding of nonlinear side-informed watermarking schemes.
Proceedings of the Security, Steganography, and Watermarking of Multimedia Contents VI, 2004

Performance evaluation of blind steganalysis classifiers.
Proceedings of the Security, Steganography, and Watermarking of Multimedia Contents VI, 2004

Utility-based neighbourhood formation for efficient and robust collaborative filtering.
Proceedings of the Proceedings 5th ACM Conference on Electronic Commerce (EC-2004), 2004

A framework for soft hashing and its application to robust image hashing.
Proceedings of the 2004 International Conference on Image Processing, 2004

Efficient and Secure Collaborative Filtering through Intelligent Neighbour Selection.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

2003
Improved polynomial detectors for side-informed watermarking.
Proceedings of the Security and Watermarking of Multimedia Contents V, 2003

Securing Java through software watermarking.
Proceedings of the 2nd International Symposium on Principles and Practice of Programming in Java, 2003

Collaborative Filtering - Safe and Sound?
Proceedings of the Foundations of Intelligent Systems, 14th International Symposium, 2003

Application of side-informed embedding and polynomial detection to audio watermarking.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
Nth-order audio watermarking.
Proceedings of the Security and Watermarking of Multimedia Contents IV, 2002

Robustness and Efficiency of Non-linear Side-Informed Watermarking.
Proceedings of the Information Hiding, 5th International Workshop, 2002

JANIS: Just Another n-order Side-Informed Watermarking Scheme.
Proceedings of the 2002 International Conference on Image Processing, 2002

Side-informed watermarking using n<sup>th</sup>-order polynomial detectors.
Proceedings of the 11th European Signal Processing Conference, 2002

Promoting Recommendations: An Attack on Collaborative Filtering.
Proceedings of the Database and Expert Systems Applications, 13th International Conference, 2002

Towards Robust Collaborative Filtering.
Proceedings of the Artificial Intelligence and Cognitive Science, 2002

2001
Informed audio watermarking scheme using digital chaotic signals.
Proceedings of the IEEE International Conference on Acoustics, 2001

1998
Parallel Adaptive Mesh Refinement for Large Eddy Simulation Using the Finite Element Method.
Proceedings of the Applied Parallel Computing, 1998

1995
The Use of Fuzzy Representation in a CBR System for Mesh Design.
Proceedings of the Fuzzy Logic in Artificial Intelligence, 1995

Evaluating the Application of CBR in Mesh Design for Simulation Problems.
Proceedings of the Case-Based Reasoning Research and Development, 1995

On the use of CBR in optimisation problems such as the TSP.
Proceedings of the Case-Based Reasoning Research and Development, 1995

1993
<i>A priori</i> Selection of Mesh Densities for Adaptive Finite Element Analysis, Using a Case-Based Reasoning Approach.
Proceedings of the Topics in Case-Based Reasoning, First European Workshop, 1993

1992
AI-DEQSOL. A knowledge-based environment for numerical simulation of engineering problems described by partial differential equations.
Artif. Intell. Eng. Des. Anal. Manuf., 1992

1991
An Integrated Problem Solving Environment for Numerical Simulation of Engineering Problems.
Proceedings of the Programming Environments for High-Level Scientific Problem Solving, 1991


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