Khalil Muhammad

According to our database, Khalil Muhammad authored at least 13 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Item Graph Convolution Collaborative Filtering for Inductive Recommendations.

Edoardo D'Amico, Khalil Muhammad, Elias Z. Tragos, Barry Smyth, Neil Hurley, Aonghus Lawlor

Proceedings of the Advances in Information Retrieval, 2023

2022

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

Proceedings of the Web Engineering - 22nd International Conference, 2022

2021

Investigating Health-Aware Smart-Nudging with Machine Learning to Help People Pursue Healthier Eating-Habits.

Mansura A. Khan, Khalil Muhammad, Barry Smyth, David Coyle

CoRR, 2021

2020

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

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2018

A Multi-Domain Analysis of Explanation-Based Recommendation using User-Generated Reviews.

Khalil Muhammad, Aonghus Lawlor, Barry Smyth

Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018

2017

On the Pros and Cons of Explanation-Based Ranking.

Khalil Muhammad, Aonghus Lawlor, Barry Smyth

Proceedings of the Case-Based Reasoning Research and Development, 2017

2016

A Live-User Study of Opinionated Explanations for Recommender Systems.

Khalil Ibrahim Muhammad, Aonghus Lawlor, Barry Smyth

Proceedings of the 21st International Conference on Intelligent User Interfaces, 2016

On the Use of Opinionated Explanations to Rank and Justify Recommendations.

Khalil Muhammad, Aonghus Lawlor, Barry Smyth

Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

Explanation-based Ranking in Opinionated Recommender Systems.

Khalil Muhammad, Aonghus Lawlor, Barry Smyth

Proceedings of the 24th Irish Conference on Artificial Intelligence and Cognitive Science, 2016

2015

Generating Personalised and Opinionated Review Summaries.

Khalil Muhammad, Aonghus Lawlor, Rachael Rafter, Barry Smyth

Proceedings of the Posters, Demos, Late-breaking Results and Workshop Proceedings of the 23rd Conference on User Modeling, Adaptation, and Personalization (UMAP 2015), Dublin, Ireland, June 29, 2015

Opinionated Explanations for Recommendation Systems.

Aonghus Lawlor, Khalil Muhammad, Rachael Rafter, Barry Smyth

Proceedings of the Research and Development in Intelligent Systems XXXII, 2015

Great Explanations: Opinionated Explanations for Recommendations.

Khalil Muhammad, Aonghus Lawlor, Rachael Rafter, Barry Smyth

Proceedings of the Case-Based Reasoning Research and Development, 2015

Opinionated Explanations of Recommendations from Product Reviews.

Khalil Muhammad

Proceedings of the Workshop Proceedings from The Twenty-Third International Conference on Case-Based Reasoning (ICCBR 2015), 2015