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Khalil Muhammad
Tytuł
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Fedfast: Going beyond average for faster training of federated recommender systems
K Muhammad, Q Wang, D O'Reilly-Morgan, E Tragos, B Smyth, N Hurley, ...
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
1852020
Great explanations: Opinionated explanations for recommendations
K Muhammad, A Lawlor, R Rafter, B Smyth
Case-Based Reasoning Research and Development: 23rd International Conference …, 2015
522015
A live-user study of opinionated explanations for recommender systems
KI Muhammad, A Lawlor, B Smyth
Proceedings of the 21st International Conference on Intelligent User …, 2016
492016
On the pros and cons of explanation-based ranking
K Muhammad, A Lawlor, B Smyth
Case-Based Reasoning Research and Development: 25th International Conference …, 2017
112017
On the use of opinionated explanations to rank and justify recommendations
K Muhammad, A Lawlor, B Smyth
The Twenty-Ninth International Flairs Conference, 2016
112016
Opinionated explanations for recommendation systems
A Lawlor, K Muhammad, R Rafter, B Smyth
Research and Development in Intelligent Systems XXXII: Incorporating …, 2015
102015
Item graph convolution collaborative filtering for inductive recommendations
E D’Amico, K Muhammad, E Tragos, B Smyth, N Hurley, A Lawlor
European Conference on Information Retrieval, 249-263, 2023
62023
Explanation-based ranking in opinionated recommender systems
K Muhammad, A Lawlor, B Smyth
CEUR Workshop Proceedings, 2018
32018
Investigating health-aware smart-nudging with machine learning to help people pursue healthier eating-habits
MA Khan, K Muhammad, B Smyth, D Coyle
arXiv preprint arXiv:2110.07045, 2021
22021
A multi-domain analysis of explanation-based recommendation using user-generated reviews
K Muhammad, A Lawlor, B Smyth
The Thirty-First International Flairs Conference, 2018
22018
Generating Personalised and Opinionated Review Summaries
K Muhammad, A Lawlor, R Rafter, B Smyth
Proceedings of the Posters and Demos at the 23rd Conference on User …, 2015
22015
MARF: User-Item Mutual Aware Representation with Feedback
Q Wang, K Muhammad, DO Reilly-Morgan, B Smyth, E Tragos, A Lawlor, ...
International Conference on Web Engineering, 3-15, 2022
2022
Opinionated Explanations of Recommendations from Product Reviews.
K Muhammad
ICCBR (Workshops), 280-282, 2015
2015
Mining Product Experiences from User Generated Reviews: A Recommender Systems
K Muhammad, A Lawlor, R Rafter, B Smyth
2014
Mining Product Experiences from User Generated Reviews: A Recommender Systems Perspective
K Muhammad, A Lawlor, R Rafter, B Smyth
2014
Explanation-driven Product Recommendation from User-Generated Reviews
K Muhammad
Preface: The ICCBR 2014 Doctoral Consortium, 0
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