Neil Hurley

Neil Hurley

University College Dublin

H-index: 32

Europe-Ireland

About Neil Hurley

Neil Hurley, With an exceptional h-index of 32 and a recent h-index of 23 (since 2020), a distinguished researcher at University College Dublin, specializes in the field of social network analysis, recommender systems, digital watermarking.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Hybrid Decentralised Learning Topology for Recommendations with Improved Privacy

ALS Algorithm for Robust and Communication-Efficient Federated Learning

Item graph convolution collaborative filtering for inductive recommendations

Scalable Deep Q-Learning for Session-Based Slate Recommendation

Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation

Keeping people active and healthy at home using a reinforcement learning-based fitness recommendation framework

Addressing Fast Changing Fashion Trends in Multi-Stage Recommender Systems

Electronic device and method for controlling the electronic device

Neil Hurley Information

University

Position

Senior Lecturer

Citations(all)

5847

Citations(since 2020)

2410

Cited By

4353

hIndex(all)

32

hIndex(since 2020)

23

i10Index(all)

71

i10Index(since 2020)

37

Email

University Profile Page

University College Dublin

Google Scholar

View Google Scholar Profile

Neil Hurley Skills & Research Interests

social network analysis

recommender systems

digital watermarking

Top articles of Neil Hurley

Title

Journal

Author(s)

Publication Date

A Hybrid Decentralised Learning Topology for Recommendations with Improved Privacy

Diarmuid O'Reilly Morgan

Elias Tragos

James Geraci

Qinqin Wang

Neil Hurley

...

2024/4/22

ALS Algorithm for Robust and Communication-Efficient Federated Learning

Neil Hurley

Erika Duriakova

James Geraci

Diarmuid O'Reilly-Morgan

Elias Tragos

...

2024/4/22

Item graph convolution collaborative filtering for inductive recommendations

Edoardo D’Amico

Khalil Muhammad

Elias Tragos

Barry Smyth

Neil Hurley

...

2023/3/17

Scalable Deep Q-Learning for Session-Based Slate Recommendation

Aayush Singha Roy

Edoardo D'Amico

Elias Tragos

Aonghus Lawlor

Neil Hurley

2023/9/14

Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation

Edoardo D’Amico

Aonghus Lawlor

Neil Hurley

2023/5/25

Keeping people active and healthy at home using a reinforcement learning-based fitness recommendation framework

32nd International Joint Conference on Artificial Intelligence, IJCAI-23

Elias Tragos

Diarmuid O’Reilly-Morgan

James Geraci

Bichen Shi

Barry Smyth

...

2023/8/19

Addressing Fast Changing Fashion Trends in Multi-Stage Recommender Systems

Aayush Singha Roy

Edoardo D'Amico

Aonghus Lawlor

Neil Hurley

2023/5/8

Electronic device and method for controlling the electronic device

2023/8/17

Learning Domain-Independent Representations via Shared Weight Auto-Encoder for Transfer Learning in Recommender Systems

IEEE Access

Qinqin Wang

Diarmuid Oàeilly-morgan

Elias Z Tragos

Neil Hurley

Barry Smyth

...

2022/7/5

Entity-Enhanced Graph Convolutional Network for Accurate and Explainable Recommendation

Qinqin Wang

Elias Tragos

Neil Hurley

Barry Smyth

Aonghus Lawlor

...

2022/7/4

Electronic apparatus and server for refining artificial intelligence model, and method of refining artificial intelligence model

2022/12/20

Electronic device for providing information in response to query and method therefor

2022/9/6

MARF: User-Item Mutual Aware Representation with Feedback

Qinqin Wang

Khalil Muhammad

Diarmuid O’ Reilly-Morgan

Barry Smyth

Elias Tragos

...

2022/7/1

Dares: an asynchronous distributed recommender system using deep reinforcement learning

IEEE access

Bichen Shi

Elias Z Tragos

Makbule Gulcin Ozsoy

Ruihai Dong

Neil Hurley

...

2021/6/7

An algorithmic framework for decentralised matrix factorisation

Erika Duriakova

Wěipéng Huáng

Elias Tragos

Aonghus Lawlor

Barry Smyth

...

2021

Boosting the Training Time of Weakly Coordinated Distributed Machine Learning

Erika Duriakova

Elias Tragos

Aonghus Lawlor

Barry Smyth

Neil Hurley

2021/12/15

Novelty and diversity in recommender systems

Pablo Castells

Neil Hurley

Saul Vargas

2021/11/22

Posterior Regularization on Bayesian Hierarchical Mixture Clustering

arXiv preprint arXiv:2105.06903

Weipeng Huang

Tin Lok James Ng

Nishma Laitonjam

Neil J Hurley

2021/5/14

Social Supports in HE: a Social Network Analysis (SNA) Approach to Understanding Learning Experience

Irish Journal of Academic Practice

Bernadette Brereton

Neil Hurley

2021

Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach

Weipeng Huang

Nishma Laitonjam

Guangyuan Piao

Neil J Hurley

2021/5/8

See List of Professors in Neil Hurley University(University College Dublin)